diff --git a/Readme.md b/Readme.md --- a/Readme.md +++ b/Readme.md @@ -36,7 +36,7 @@ + simply run `cut-the-crap` to display usage instructions. ## Ubuntu -Download the .deb file from the [release page](https://github.com/jappeace/cut-the-crap/releases). +Download the .deb file from the release page. Install with: ```shell @@ -117,12 +117,6 @@ # Design This project is mostly a wrapper around ffmpeg. We use Haskell for shell programming. - -We first figure out what's going on with the video. -For example we do silence detection or speech recogontion, maybe even motion detection etc. -After the analyze phase we act in the edit phase. -Where we for example cut. -Finally we produce some result. The [shelly](http://hackage.haskell.org/package/shelly) library was chosen in support of shell programming. Originally we used [turtle](http://hackage.haskell.org/package/turtle), diff --git a/app/exe.hs b/app/exe.hs --- a/app/exe.hs +++ b/app/exe.hs @@ -1,24 +1,6 @@ module Main where -import Control.Lens -import Cut.Analyze -import qualified Cut.Lib as Lib -import Cut.Options -import Cut.SpeechRecognition -import Data.Foldable -import qualified Data.Text.IO as T -import Shelly hiding (FilePath) - -txts :: [String] -txts = ["short-opening", "input"] +import qualified Cut.Lib as Lib main :: IO () -main = do - flip traverse_ txts $ \txt -> do - result <- shelly $ detectSpeech (set voice_track 1 simpleOptions) "tmptmp" (txt <>".mkv") - print result - traverse_ (T.writeFile (txt <> ".srt") . Lib.makeSrt) result - -- detect_words "heyo.raw" - --- fun :: ResultCode --- fun = SUCCESS +main = Lib.entryPoint diff --git a/cut-the-crap.cabal b/cut-the-crap.cabal --- a/cut-the-crap.cabal +++ b/cut-the-crap.cabal @@ -1,13 +1,13 @@ cabal-version: 1.12 --- This file has been generated from package.yaml by hpack version 0.33.1. +-- This file has been generated from package.yaml by hpack version 0.33.0. -- -- see: https://github.com/sol/hpack -- --- hash: f24854d4c8fa021dd02b4247a702ee1fa38c5ee9c1b164a5ae0f18a66257649f +-- hash: 1250d94c516268de8b0a4c1ee8c7600bca2b27ba1ff011c15e836402301f160f name: cut-the-crap -version: 1.1.0 +version: 1.2.0 synopsis: Cuts out uninteresting parts of videos by detecting silences. description: Cut the crap is an automatic video editing program for streamers. It can cut out uninteresting parts by detecting silences. This was inspired by [jumpcutter](https://github.com/carykh/jumpcutter), where this program can get better quality results by using an (optional) dedicated microphone track. This prevents cutting of [quieter consonants](https://youtu.be/DQ8orIurGxw?t=675) for example. Using ffmpeg more efficiently also produces faster results and is less error prone. category: video @@ -28,7 +28,6 @@ Cut.Ffmpeg Cut.Lib Cut.Options - Cut.SpeechRecognition Cut.SplitVideo other-modules: Paths_cut_the_crap @@ -36,14 +35,6 @@ src default-extensions: EmptyCase FlexibleContexts FlexibleInstances InstanceSigs MultiParamTypeClasses LambdaCase MultiWayIf NamedFieldPuns TupleSections DeriveFoldable DeriveFunctor DeriveGeneric DeriveLift DeriveTraversable DerivingStrategies GeneralizedNewtypeDeriving StandaloneDeriving OverloadedStrings TypeApplications ghc-options: -Wall -Wcompat -Wincomplete-uni-patterns -Wredundant-constraints -Wincomplete-record-updates -Widentities - cc-options: -DMODELDIR="/nix/store/qzkx381b0abr65lvlf5r661nlwclbxcs-pocketsphinx-5prealpha/share/pocketsphinx/model" - include-dirs: - includes - c-sources: - includes/speech_recognition.c - pkgconfig-depends: - pocketsphinx - , sphinxbase build-depends: base >=4.7 && <5 , exceptions @@ -55,7 +46,6 @@ , system-filepath , temporary , text - , time , unliftio-core default-language: Haskell2010 @@ -67,14 +57,6 @@ app default-extensions: EmptyCase FlexibleContexts FlexibleInstances InstanceSigs MultiParamTypeClasses LambdaCase MultiWayIf NamedFieldPuns TupleSections DeriveFoldable DeriveFunctor DeriveGeneric DeriveLift DeriveTraversable DerivingStrategies GeneralizedNewtypeDeriving StandaloneDeriving OverloadedStrings TypeApplications ghc-options: -Wall -Wcompat -Wincomplete-uni-patterns -Wredundant-constraints -Wincomplete-record-updates -Widentities -threaded -rtsopts -with-rtsopts=-N - cc-options: -DMODELDIR="/nix/store/qzkx381b0abr65lvlf5r661nlwclbxcs-pocketsphinx-5prealpha/share/pocketsphinx/model" - include-dirs: - includes - c-sources: - includes/speech_recognition.c - pkgconfig-depends: - pocketsphinx - , sphinxbase build-depends: base >=4.7 && <5 , cut-the-crap @@ -87,7 +69,6 @@ , system-filepath , temporary , text - , time , unliftio-core default-language: Haskell2010 @@ -96,14 +77,12 @@ main-is: Spec.hs other-modules: Test.MatchLineSpec - Test.SubtitleAlignmentSpec Test.TestSpec Cut.Analyze Cut.CutVideo Cut.Ffmpeg Cut.Lib Cut.Options - Cut.SpeechRecognition Cut.SplitVideo Paths_cut_the_crap hs-source-dirs: @@ -111,29 +90,18 @@ src default-extensions: EmptyCase FlexibleContexts FlexibleInstances InstanceSigs MultiParamTypeClasses LambdaCase MultiWayIf NamedFieldPuns TupleSections DeriveFoldable DeriveFunctor DeriveGeneric DeriveLift DeriveTraversable DerivingStrategies GeneralizedNewtypeDeriving StandaloneDeriving OverloadedStrings TypeApplications ghc-options: -Wall -Wcompat -Wincomplete-uni-patterns -Wredundant-constraints -Wincomplete-record-updates -Widentities - cc-options: -DMODELDIR="/nix/store/qzkx381b0abr65lvlf5r661nlwclbxcs-pocketsphinx-5prealpha/share/pocketsphinx/model" - include-dirs: - includes - c-sources: - includes/speech_recognition.c - pkgconfig-depends: - pocketsphinx - , sphinxbase build-depends: - QuickCheck - , base >=4.7 && <5 + base >=4.7 && <5 , exceptions , generic-lens , hspec , hspec-core , lens , optparse-applicative - , quickcheck-classes , regex-tdfa , shelly , system-filepath , temporary , text - , time , unliftio-core default-language: Haskell2010 diff --git a/includes/speech_recognition.c b/includes/speech_recognition.c deleted file mode 100644 --- a/includes/speech_recognition.c +++ /dev/null @@ -1,86 +0,0 @@ -#include "speech_recognition.h" -#include - -detect_result* detect_words(char* filepath){ - printf("\n\n\nusing from c %s, \n", filepath); - printf("size of: (worduh framuh %i), (word_frame* %i), (int %i), (detect_results %i), (detected_words %i), (result_code %i)", - sizeof(word_frame), - sizeof(word_frame*), - sizeof(int), - sizeof(detect_result), - sizeof(detected_words), - sizeof(result_code) - ); - cmd_ln_t* config = cmd_ln_init(NULL, ps_args(), TRUE, - "-hmm", MODELDIR "/en-us/en-us", - "-lm", MODELDIR "/en-us/en-us.lm.bin", - "-dict", MODELDIR "/en-us/cmudict-en-us.dict", - NULL); - - detect_result* res = malloc(sizeof(detect_result)); - if (config == NULL) { - res->code = FAILED_CONFIG_OBJECT; - return res; - } - - ps_decoder_t* decoder = ps_init(config); - if (decoder == NULL) { - res->code = FAILED_CONFIG_OBJECT; - return res; - } - - // If you want to create your own version of it: it needs to be a single-channel (monaural), little-endian, unheadered 16-bit signed PCM audio file sampled at 16000 Hz. - FILE* audioFile = fopen(filepath, "rb"); - if (audioFile == NULL) { - res->code = FAILED_UNABLE_INPUTFILE; - return res; - } - int rv = ps_start_utt(decoder); - int16 buf[512]; - - // do the actuall speech recongnition - while (!feof(audioFile)) { - size_t nsamp; - nsamp = fread(buf, 2, 512, audioFile); - rv = ps_process_raw(decoder, buf, nsamp, FALSE, FALSE); - printf("cur rv: %i - %i \n", rv, (int) nsamp); - } - rv = ps_end_utt(decoder); // make decoder 'realize' recognintion is over - - word_frame* result = (word_frame*) malloc(5*sizeof(word_frame)); - size_t used = 0; - size_t size = 5; - for(ps_seg_t* iterator = ps_seg_iter(decoder); iterator != NULL; iterator = ps_seg_next(iterator)){ - if(used >= size){ - size *= 2; - result = (word_frame*) realloc(result, size * sizeof(word_frame)); - } - word_frame current_word_frame; - - ps_seg_frames(iterator, - ¤t_word_frame.from_frame, - ¤t_word_frame.to_frame - ); - - char const* word = ps_seg_word(iterator); - - current_word_frame.word = (char*) malloc(strlen(word)*sizeof(char)); - strcpy(current_word_frame.word, word); - - result[used] = current_word_frame; - used++; - } - - fclose(audioFile); - ps_free(decoder); - cmd_ln_free_r(config); - - detected_words somevar = { - result, - used - }; - res->code = SUCCESS; - res->words = somevar; - return res; -} - diff --git a/src/Cut/Analyze.hs b/src/Cut/Analyze.hs --- a/src/Cut/Analyze.hs +++ b/src/Cut/Analyze.hs @@ -1,5 +1,5 @@ module Cut.Analyze - ( detectSoundInterval + ( detect , Interval(..) , Sound , Silent @@ -7,7 +7,6 @@ , getEnd , getDuration , takeOnlyLines - , detectSpeech ) where @@ -17,15 +16,15 @@ import Control.Monad.IO.Unlift import Cut.Ffmpeg import Cut.Options -import Cut.SpeechRecognition import Data.Foldable import Data.Maybe -import Data.Text (Text) -import qualified Data.Text as Text -import qualified Data.Text.IO as Text +import Data.Coerce +import Data.Text ( Text ) +import qualified Data.Text as Text +import qualified Data.Text.IO as Text import Data.Text.Lens -import Shelly hiding (find) -import Text.Regex.TDFA hiding (empty) +import Shelly hiding ( find ) +import Text.Regex.TDFA hiding ( empty ) data Silent data Sound @@ -38,8 +37,8 @@ , interval_input_end :: Text } deriving Show -detectSoundInterval :: (MonadMask m, MonadUnliftIO m) => Options -> m [Interval Sound] -detectSoundInterval opts = do +detect :: (MonadMask m, MonadUnliftIO m) => Options -> m [Interval Sound] +detect opts = do lines'' <- shelly $ detectShell opts let linesRes = do line <- lines'' @@ -57,7 +56,8 @@ let linedUp = zipped lines' parsed = parse <$> linedUp - fancyResult = detectSound opts parsed + detector = if opts ^. cut_noise then detectSilence else detectSound + fancyResult = detector opts parsed negativeResult = find ((0 >) . interval_duration) fancyResult liftIO $ putStrLn "-----------------------------------------" @@ -90,6 +90,9 @@ zipped [_ ] = [] zipped (one : two : rem') = (one, two) : zipped rem' +detectSilence :: Options -> [Interval Silent] -> [Interval Sound] +detectSilence _ = coerce + detectSound :: Options -> [Interval Silent] -> [Interval Sound] detectSound opts = -- -- TODO figure out why these durations get recorded as < 0 @@ -119,9 +122,11 @@ detectShell :: Options -> Sh [Text] -detectShell opt' = ffmpeg (opt' ^. in_file . packed) - ["-map" - , voice_track_map opt' +detectShell opt' = ffmpeg + [ "-i" + , opt' ^. in_file . packed + , "-map" + , "0:" <> opt' ^. voice_track . to show . packed , "-filter:a" -- , "silencedetect=noise=-30dB:d=0.5" , "silencedetect=noise=" @@ -171,18 +176,3 @@ match1 = str =~ pipe match2 :: (String, String, String) match2 = (match1 ^. _1) =~ startMatch - - --- | Detect the speech on the mkv file -detectSpeech :: Options -> Prelude.FilePath -> Prelude.FilePath -> Sh (Either ResultCode [WordFrame]) -detectSpeech options tempdir inputFile = do - void $ ffmpeg inputFile $ (specifyTracks options) <> [ - Text.pack tmpMp3File - ] - void $ ffmpeg tmpMp3File [ - "-f", "s16le", "-acodec", "pcm_s16le", "-filter:a", "aresample=resampler=soxr:osr=16000", "-ac", "1", Text.pack tmpRawFile - ] - liftIO $ speechAnalyses tmpRawFile - where - tmpMp3File = tempdir <> "/" <> "speechdetect.mp3" - tmpRawFile = tempdir <> "/" <> "speechdetect.raw" diff --git a/src/Cut/CutVideo.hs b/src/Cut/CutVideo.hs --- a/src/Cut/CutVideo.hs +++ b/src/Cut/CutVideo.hs @@ -17,11 +17,20 @@ import Cut.Ffmpeg import Cut.Options import Data.Foldable -import Data.Text (Text) -import qualified Data.Text as Text +import Data.Text ( Text ) +import qualified Data.Text as Text import Data.Text.Lens -import Shelly hiding (FilePath) +import Shelly hiding ( FilePath ) +import Text.Printf ( printf ) +specifyTracks :: Options -> [Text] +specifyTracks options = + [ "-map" + , "0:0" + , "-map" -- then copy only the voice track + , "0:" <> options ^. voice_track . to show . packed + ] + toArgs :: Options -> FilePath -> Interval Sound -> (Interval Sound, [Text]) toArgs options tmp inter = ( inter @@ -41,12 +50,12 @@ where start = floatToText $ interval_start inter duration = floatToText $ interval_duration inter - fname = Text.pack $ show $ truncate $ interval_start inter * 100 + fname = Text.pack $ printf "%010d" (truncate $ interval_start inter * 100 :: Integer) extract :: Options -> FilePath -> [Interval Sound] -> IO () extract options tempDir intervals = do traverse_ - (\(inter, args) -> void $ catch (shelly $ ffmpeg' args) $ \exec -> do + (\(inter, args) -> void $ catch (shelly $ ffmpeg args) $ \exec -> do liftIO (print ("expection during edit: ", exec :: SomeException, args, inter) ) @@ -61,7 +70,7 @@ combine :: FilePath -> Sh () combine tempDir = do - output' <- ffmpeg' args + output' <- ffmpeg args liftIO $ print ("output", output') where -- https://stackoverflow.com/questions/7333232/how-to-concatenate-two-mp4-files-using-ffmpeg args = diff --git a/src/Cut/Ffmpeg.hs b/src/Cut/Ffmpeg.hs --- a/src/Cut/Ffmpeg.hs +++ b/src/Cut/Ffmpeg.hs @@ -1,22 +1,17 @@ module Cut.Ffmpeg ( ffmpeg - , ffmpeg' , floatToText ) where -import Data.Text (Text) -import qualified Data.Text as Text +import Data.Text ( Text ) +import qualified Data.Text as Text import Numeric import Shelly -- | Wrap ffmpeg for convenience and logging --- technically supports multiple inputs but for convenice we threw that. -ffmpeg :: Prelude.FilePath -> [Text] -> Sh [Text] -ffmpeg file args = ffmpeg' ("-y" : "-i" : Text.pack file : args) - -ffmpeg' :: [Text] -> Sh [Text] -ffmpeg' args = do +ffmpeg :: [Text] -> Sh [Text] +ffmpeg args = do liftIO $ putStr "Running: " liftIO $ print $ "ffmpeg " <> Text.unwords args run_ "ffmpeg" args diff --git a/src/Cut/Lib.hs b/src/Cut/Lib.hs --- a/src/Cut/Lib.hs +++ b/src/Cut/Lib.hs @@ -1,10 +1,10 @@ {-# LANGUAGE DataKinds #-} {-# LANGUAGE TypeOperators #-} +{-# OPTIONS_GHC -w #-} module Cut.Lib ( entryPoint , combineDir - , makeSrt ) where @@ -17,34 +17,26 @@ import Cut.CutVideo import Cut.Ffmpeg import Cut.Options -import Cut.SpeechRecognition -import Data.Foldable (foldl') -import Data.Foldable (fold) -import Data.Generics.Product.Fields -import Data.Maybe -import Data.Text (Text) -import qualified Data.Text as Text +import Cut.SplitVideo +import Data.Bifunctor +import Data.Either +import qualified Data.Text as Text +import qualified Data.Text.IO as Text import Data.Text.Lens -import Data.Time -import GHC.Generics hiding (to) import Options.Applicative -import Shelly hiding (FilePath) +import Shelly hiding ( FilePath ) import System.IO.Temp +import Text.Regex.TDFA hiding ( empty + , extract + ) entryPoint :: (MonadMask m, MonadUnliftIO m) => m () -entryPoint = - catch main $ \exec -> liftIO (print (exceptionString, exec :: SomeException)) - -exceptionString :: String -exceptionString = "Uncaught exception: " - -main :: (MonadMask m, MonadUnliftIO m) => m () -main = do +entryPoint = do options <- liftIO readSettings liftIO $ putStr "started with options: " liftIO $ print options - parsed <- detectSoundInterval options + parsed <- detect options case parsed of [] -> liftIO @@ -62,7 +54,7 @@ getMusic options tempDir combineDir :: Options -> FilePath -> Sh () -combineDir _ tempDir = do +combineDir options tempDir = do res <- lsT $ fromText $ Text.pack tempDir let paths = Text.unlines $ flip (<>) "'" . ("file '" <>) <$> res writefile (fromText $ Text.pack $ tempDir <> "/input.txt") paths @@ -70,7 +62,7 @@ readSettings :: IO Options readSettings = customExecParser (prefs showHelpOnError) $ info - parseRecord + (parseRecord <**> helper) (fullDesc <> Options.Applicative.header "Cut the crap" <> progDesc "Automated video extracting, can cut out silences" ) @@ -95,16 +87,18 @@ where combinedFile = tempDir <> "/" <> combineOutput extractMusicTrack :: Int -> FilePath -> FilePath -> Sh () -extractMusicTrack musicTrack inputFile tempDir = void $ ffmpeg inputFile args +extractMusicTrack musicTrack inputFile tempDir = void $ ffmpeg args where -- https://stackoverflow.com/questions/7333232/how-to-concatenate-two-mp4-files-using-ffmpeg args = - [ "-map" + [ "-i" + , Text.pack inputFile + , "-map" , "0:" <> Text.pack (show musicTrack) , Text.pack (tempDir <> "/" <> musicFile) ] mergeMusicAndVideo :: FilePath -> Sh () -mergeMusicAndVideo tempDir = void $ ffmpeg' args +mergeMusicAndVideo tempDir = void $ ffmpeg args where -- https://stackoverflow.com/questions/7333232/how-to-concatenate-two-mp4-files-using-ffmpeg args = [ "-i" @@ -126,82 +120,3 @@ , "-shortest" , Text.pack (tempDir <> "/" <> withMusicFile) ] - - -data SrtDisplay = SrtDisplay - { _srt_from :: DiffTime - , _srt_to :: DiffTime - , _srt_words :: Text - , _srt_position :: Int - } deriving (Show, Eq, Generic) - -instance Semigroup SrtDisplay where - (<>) a b = SrtDisplay{ - _srt_from = a ^. srt_from, - _srt_to = b ^. srt_to, - _srt_words = a ^. srt_words <> " " <> b ^. srt_words, - _srt_position = a ^. srt_position - } -instance Monoid SrtDisplay where - mempty = SrtDisplay{ - _srt_from = 0, - _srt_to = 0, - _srt_words = mempty, - _srt_position = 0 - } - -srt_from :: Lens' SrtDisplay DiffTime -srt_from = field @"_srt_from" -srt_to :: Lens' SrtDisplay DiffTime -srt_to = field @"_srt_to" -srt_words :: Lens' SrtDisplay Text -srt_words = field @"_srt_words" -srt_position :: Lens' SrtDisplay Int -srt_position = field @"_srt_position" - -makeSrt :: [WordFrame] -> Text.Text -makeSrt frames = fold $ fmap (formatSrt . foldl' (<>) mempty) $ groupBySentence $ imap (toSrtDisplay off) frames - where off = fromMaybe noOffset $ frames ^? ix 0 . frame_from - -groupBySentence :: [SrtDisplay] -> [[SrtDisplay]] -groupBySentence = snd . foldl' innerFold ([], []) -- face - -innerFold :: ([SrtDisplay], [[SrtDisplay]]) -> SrtDisplay -> ([SrtDisplay], [[SrtDisplay]]) -innerFold (prev, res) x = if x ^. srt_words == "" then ([], prev : res) else - (x : prev, res) - - -toSrtDisplay :: FrameOffset -> Int -> WordFrame -> SrtDisplay -toSrtDisplay firstOffset ix' frame = SrtDisplay - { _srt_from = frame ^. frame_from . to (toDiffTime firstOffset) - , _srt_to = frame ^. frame_to . to (toDiffTime firstOffset) - , _srt_words = frame ^. frame_word - , _srt_position = ix' - } - - --- | wikipedia explains the srt format pretty well: https://en.wikipedia.org/wiki/SubRip --- in escence : --- [A numeric counter identifying each sequential subtitle] --- [The time that the subtitle should appear on the screen] --–> [d the time it should disappear] --- [Subtitle text itself on one or more lines] --- [A blank line containing no text, indicating the end of this subtitle] -formatSrt :: SrtDisplay -> Text.Text -formatSrt sentence = fold - [ sentence ^. srt_position . to show . packed - , "\n" - , Text.pack - $ formatTime defaultTimeLocale "%0H:%0M:%0S,000" - $ sentence - ^. srt_from - , " --> " - , Text.pack - $ formatTime defaultTimeLocale "%0H:%0M:%0S,000" - $ sentence - ^. srt_to - , "\n" - , (sentence ^. srt_words) - , "\n" - , "\n" - ] - diff --git a/src/Cut/Options.hs b/src/Cut/Options.hs --- a/src/Cut/Options.hs +++ b/src/Cut/Options.hs @@ -2,7 +2,6 @@ {-# LANGUAGE TypeApplications #-} {-# LANGUAGE TypeOperators #-} - module Cut.Options ( Options , parseRecord @@ -14,21 +13,21 @@ , voice_track , music_track , silent_duration + , cut_noise , work_dir , simpleOptions - , voice_track_map - , specifyTracks ) where -import Control.Lens +import Control.Lens ( (#) + , Lens' + , _Just + , non + ) import Data.Generics.Product.Fields -import qualified Data.Text as Text -import Data.Text.Lens -import GHC.Generics hiding (to) +import GHC.Generics import Options.Applicative - simpleOptions :: Options simpleOptions = Options { inFile = "in.mkv" , outFile = "out.mkv" @@ -38,19 +37,21 @@ , voiceTrack = _Just # 2 , musicTrack = Nothing , silentDuration = _Just # def_duration + , cutNoise = def_cut_noise , workDir = Nothing } data Options = Options - { inFile :: FilePath - , outFile :: FilePath - , segmentSize :: Maybe Int + { inFile :: FilePath + , outFile :: FilePath + , segmentSize :: Maybe Int , silentTreshold :: Maybe Double , silentDuration :: Maybe Double - , detectMargin :: Maybe Double - , voiceTrack :: Maybe Int - , musicTrack :: Maybe Int - , workDir :: Maybe FilePath + , detectMargin :: Maybe Double + , voiceTrack :: Maybe Int + , musicTrack :: Maybe Int + , cutNoise :: Bool + , workDir :: Maybe FilePath } deriving (Show, Generic) in_file :: Lens' Options FilePath @@ -65,9 +66,13 @@ def_margin :: Double def_margin = 0.05 +def_cut_noise :: Bool +def_cut_noise = False + def_silent :: Double def_silent = 0.0001 + def_duration :: Double def_duration = 0.25 @@ -92,21 +97,12 @@ music_track :: Lens' Options (Maybe Int) music_track = field @"musicTrack" +cut_noise :: Lens' Options Bool +cut_noise = field @"cutNoise" + work_dir :: Lens' Options (Maybe FilePath) work_dir = field @"workDir" -voice_track_map :: Options -> Text.Text -voice_track_map = mappend "0:" . view (voice_track . to show . packed) - -specifyTracks :: Options -> [Text.Text] -specifyTracks options = - [ "-map" - , "0:0" - , "-map" -- then copy only the voice track - , voice_track_map options - ] - - parseRecord :: Parser Options parseRecord = Options @@ -145,6 +141,8 @@ ) <*> optional (option auto (long "musicTrack" <> help "The track to integrate")) + <*> switch + (long "cutNoise" <> help "Whether to cut noise instead of silence") <*> optional (option str diff --git a/src/Cut/SpeechRecognition.chs b/src/Cut/SpeechRecognition.chs deleted file mode 100644 --- a/src/Cut/SpeechRecognition.chs +++ /dev/null @@ -1,98 +0,0 @@ -{-# LANGUAGE DataKinds #-} -{-# LANGUAGE TypeOperators #-} -{-# LANGUAGE TypeApplications #-} -{-# LANGUAGE DeriveAnyClass #-} - --- | This entire module leaks like crazy, it's not a big deal because --- at the moment this process is confined -module Cut.SpeechRecognition(speechAnalyses - , frame_from - , frame_to - , frame_word - , FrameOffset - , WordFrame - , ResultCode(..) - , toDiffTime - , toFrameOffset - , noOffset - ) where - -import Data.Time -import GHC.Generics -import Data.Text(Text) -import qualified Data.Text as Text -import Control.Monad (liftM, when) -import Foreign -import Foreign.C -import System.IO.Unsafe (unsafePerformIO) -import Control.Lens -import Data.Generics.Product.Fields - -#include "speech_recognition.h" - -{#enum result_code as ResultCode {underscoreToCase}#} -deriving instance Show ResultCode - -newtype FrameOffset = FrameOffset Int - deriving (Generic, Show) - -noOffset :: FrameOffset -noOffset = FrameOffset 0 - - -toFrameOffset :: Int -> FrameOffset -toFrameOffset = FrameOffset - -data WordFrame = WordFrame - { _frame_from :: FrameOffset - , _frame_to :: FrameOffset - , _frame_word :: Text - } deriving (Generic, Show) - -instance Storable WordFrame where - alignment _ = 4 - sizeOf _ = 16 - peek ptr = - WordFrame - <$> (FrameOffset . toInt <$> peekByteOff ptr 0) - <*> (FrameOffset . toInt <$> peekByteOff ptr 4) - <*> (peekByteOff ptr 8 >>= fmap Text.pack . peekCString) - poke ptr (WordFrame (FrameOffset d) (FrameOffset c) i) = do - pokeByteOff ptr 0 d - pokeByteOff ptr 4 c - withCString (Text.unpack i) $ pokeByteOff ptr 8 - -frame_from :: Lens' WordFrame FrameOffset -frame_from = field @"_frame_from" - -frame_to :: Lens' WordFrame FrameOffset -frame_to = field @"_frame_to" - -toDiffTime :: FrameOffset -> FrameOffset -> DiffTime -toDiffTime (FrameOffset startoffset) (FrameOffset x) = - secondsToDiffTime $ toInteger $ div (x - startoffset) 45 - -frame_word :: Lens' WordFrame Text -frame_word = field @"_frame_word" - -toInt :: CInt -> Int -toInt = fromInteger . toInteger - -detectedToList :: CInt -> Ptr WordFrame -> IO [WordFrame] -detectedToList c_used frames = - traverse (peek . plusPtr frames . (*) (sizeOf (undefined :: WordFrame)) ) [0..(used - 1)] - where - used = toInt c_used - --- | given a raw audio file, we can detect words -speechAnalyses :: FilePath -> IO (Either ResultCode [WordFrame]) -speechAnalyses filePath = do - c_result <- withCString filePath detect_words_ffi - c_words <- peekByteOff c_result 8 - c_words_used <- peekByteOff c_result 16 - status_code <- toEnum . fromIntegral <$> {#get detect_result.code #} c_result - case status_code of - Success -> Right <$> detectedToList c_words_used c_words - x -> pure $ Left x - -foreign import ccall "detect_words" detect_words_ffi :: CString -> IO ({#type detect_result #}) diff --git a/src/Cut/SplitVideo.hs b/src/Cut/SplitVideo.hs --- a/src/Cut/SplitVideo.hs +++ b/src/Cut/SplitVideo.hs @@ -8,15 +8,17 @@ import Cut.Ffmpeg import Cut.Options import Data.Text.Lens -import Shelly hiding (FilePath) +import Shelly hiding ( FilePath ) -- | Splits a video into segments split :: FilePath -> Options -> Sh () split tmp opt' = do cp (fromText (tmp ^. packed)) (fromText (opt' ^. out_file . packed <> "-full.mp4")) - void $ ffmpeg tmp - ["-c" + void $ ffmpeg + [ "-i" + , tmp ^. packed + , "-c" , "copy" , "-map" , "0" @@ -28,4 +30,3 @@ , "1" , opt' ^. out_file . packed <> "%03d.mp4" ] - diff --git a/test/Test/SubtitleAlignmentSpec.hs b/test/Test/SubtitleAlignmentSpec.hs deleted file mode 100644 --- a/test/Test/SubtitleAlignmentSpec.hs +++ /dev/null @@ -1,41 +0,0 @@ -module Test.SubtitleAlignmentSpec - ( spec - ) -where - - -import Cut.SpeechRecognition -import Test.Hspec - - --- frame = WordFrame {_frame_from = FrameOffset 18877, _frame_to = FrameOffset 18900, _frame_word = "i"} --- Right [ --- WordFrame {_frame_from = FrameOffset 18777, _frame_to = FrameOffset 18827, _frame_word = ""}, --- WordFrame {_frame_from = FrameOffset 18828, _frame_to = FrameOffset 18857, _frame_word = ""}, --- WordFrame {_frame_from = FrameOffset 18858, _frame_to = FrameOffset 18886, _frame_word = ""}, --- WordFrame {_frame_from = FrameOffset 18887, _frame_to = FrameOffset 18910, _frame_word = "i"}, --- WordFrame {_frame_from = FrameOffset 18911, _frame_to = FrameOffset 18929, _frame_word = "know"},WordFrame {_frame_from = FrameOffset 18930, _frame_to = FrameOffset 18932, _frame_word = ""},WordFrame {_frame_from = FrameOffset 18933, _frame_to = FrameOffset 18970, _frame_word = "fashion"},WordFrame {_frame_from = FrameOffset 18971, _frame_to = FrameOffset 18980, _frame_word = "to(3)"},WordFrame {_frame_from = FrameOffset 18981, _frame_to = FrameOffset 19020, _frame_word = "make"},WordFrame {_frame_from = FrameOffset 19021, _frame_to = FrameOffset 19078, _frame_word = ""},WordFrame {_frame_from = FrameOffset 19079, _frame_to = FrameOffset 19094, _frame_word = "i'm"},WordFrame {_frame_from = FrameOffset 19095, _frame_to = FrameOffset 19107, _frame_word = "in"},WordFrame {_frame_from = FrameOffset 19108, _frame_to = FrameOffset 19141, _frame_word = "love"},WordFrame {_frame_from = FrameOffset 19142, _frame_to = FrameOffset 19191, _frame_word = ""},WordFrame {_frame_from = FrameOffset 19192, _frame_to = FrameOffset 19204, _frame_word = ""},WordFrame {_frame_from = FrameOffset 19205, _frame_to = FrameOffset 19212, _frame_word = ""},WordFrame {_frame_from = FrameOffset 19213, _frame_to = FrameOffset 19243, _frame_word = "love"},WordFrame {_frame_from = FrameOffset 19244, _frame_to = FrameOffset 19266, _frame_word = "to"},WordFrame {_frame_from = FrameOffset 19267, _frame_to = FrameOffset 19307, _frame_word = "do"},WordFrame {_frame_from = FrameOffset 19308, _frame_to = FrameOffset 19340, _frame_word = ""},WordFrame {_frame_from = FrameOffset 19341, _frame_to = FrameOffset 19358, _frame_word = "with(2)"},WordFrame {_frame_from = FrameOffset 19359, _frame_to = FrameOffset 19369, _frame_word = "it"},WordFrame {_frame_from = FrameOffset 19370, _frame_to = FrameOffset 19404, _frame_word = "again(2)"},WordFrame {_frame_from = FrameOffset 19405, _frame_to = FrameOffset 19422, _frame_word = "and(2)"},WordFrame {_frame_from = FrameOffset 19423, _frame_to = FrameOffset 19444, _frame_word = "then"},WordFrame {_frame_from = FrameOffset 19445, _frame_to = FrameOffset 19491, _frame_word = ""},WordFrame {_frame_from = FrameOffset 19492, _frame_to = FrameOffset 19544, _frame_word = "threatened"},WordFrame {_frame_from = FrameOffset 19545, _frame_to = FrameOffset 19579, _frame_word = "us(2)"},WordFrame {_frame_from = FrameOffset 19580, _frame_to = FrameOffset 19593, _frame_word = "and"},WordFrame {_frame_from = FrameOffset 19594, _frame_to = FrameOffset 19624, _frame_word = "for"},WordFrame {_frame_from = FrameOffset 19625, _frame_to = FrameOffset 19636, _frame_word = "a(2)"},WordFrame {_frame_from = FrameOffset 19637, _frame_to = FrameOffset 19701, _frame_word = ""},WordFrame {_frame_from = FrameOffset 19702, _frame_to = FrameOffset 19717, _frame_word = "day"},WordFrame {_frame_from = FrameOffset 19718, _frame_to = FrameOffset 19735, _frame_word = "i"},WordFrame {_frame_from = FrameOffset 19736, _frame_to = FrameOffset 19772, _frame_word = "felt"},WordFrame {_frame_from = FrameOffset 19773, _frame_to = FrameOffset 19804, _frame_word = "awesome"},WordFrame {_frame_from = FrameOffset 19805, _frame_to = FrameOffset 19829, _frame_word = "that"},WordFrame {_frame_from = FrameOffset 19830, _frame_to = FrameOffset 19882, _frame_word = ""},WordFrame {_frame_from = FrameOffset 19883, _frame_to = FrameOffset 19921, _frame_word = ""},WordFrame {_frame_from = FrameOffset 19922, _frame_to = FrameOffset 19946, _frame_word = ""},WordFrame {_frame_from = FrameOffset 19947, _frame_to = FrameOffset 20007, _frame_word = "celebrities"},WordFrame {_frame_from = FrameOffset 20008, _frame_to = FrameOffset 20024, _frame_word = "that(2)"},WordFrame {_frame_from = FrameOffset 20025, _frame_to = FrameOffset 20045, _frame_word = "has(2)"},WordFrame {_frame_from = FrameOffset 20046, _frame_to = FrameOffset 20082, _frame_word = "flown"},WordFrame {_frame_from = FrameOffset 20083, _frame_to = FrameOffset 20098, _frame_word = "in"},WordFrame {_frame_from = FrameOffset 20099, _frame_to = FrameOffset 20131, _frame_word = "like"},WordFrame {_frame_from = FrameOffset 20132, _frame_to = FrameOffset 20192, _frame_word = "three"},WordFrame {_frame_from = FrameOffset 20193, _frame_to = FrameOffset 20201, _frame_word = ""},WordFrame {_frame_from = FrameOffset 20202, _frame_to = FrameOffset 20281, _frame_word = "hours"},WordFrame {_frame_from = FrameOffset 20282, _frame_to = FrameOffset 20335, _frame_word = ""},WordFrame {_frame_from = FrameOffset 20336, _frame_to = FrameOffset 20372, _frame_word = "means"},WordFrame {_frame_from = FrameOffset 20373, _frame_to = FrameOffset 20399, _frame_word = "that"},WordFrame {_frame_from = FrameOffset 20400, _frame_to = FrameOffset 20433, _frame_word = "he"},WordFrame {_frame_from = FrameOffset 20434, _frame_to = FrameOffset 20461, _frame_word = ""},WordFrame {_frame_from = FrameOffset 20462, _frame_to = FrameOffset 20478, _frame_word = "knew(2)"},WordFrame {_frame_from = FrameOffset 20479, _frame_to = FrameOffset 20515, _frame_word = "nothing"},WordFrame {_frame_from = FrameOffset 20516, _frame_to = FrameOffset 20538, _frame_word = "about"},WordFrame {_frame_from = FrameOffset 20539, _frame_to = FrameOffset 20564, _frame_word = "the"},WordFrame {_frame_from = FrameOffset 20565, _frame_to = FrameOffset 20587, _frame_word = "[SPEECH]"},WordFrame {_frame_from = FrameOffset 20588, _frame_to = FrameOffset 20628, _frame_word = ""},WordFrame {_frame_from = FrameOffset 20629, _frame_to = FrameOffset 20668, _frame_word = "best"},WordFrame {_frame_from = FrameOffset 20669, _frame_to = FrameOffset 20697, _frame_word = "is"},WordFrame {_frame_from = FrameOffset 20698, _frame_to = FrameOffset 20716, _frame_word = "it"},WordFrame {_frame_from = FrameOffset 20717, _frame_to = FrameOffset 20742, _frame_word = "within(2)"},WordFrame {_frame_from = FrameOffset 20743, _frame_to = FrameOffset 20793, _frame_word = "three"},WordFrame {_frame_from = FrameOffset 20794, _frame_to = FrameOffset 20807, _frame_word = ""},WordFrame {_frame_from = FrameOffset 20808, _frame_to = FrameOffset 20869, _frame_word = "hours(2)"},WordFrame {_frame_from = FrameOffset 20870, _frame_to = FrameOffset 20907, _frame_word = ""},WordFrame {_frame_from = FrameOffset 20908, _frame_to = FrameOffset 20929, _frame_word = ""},WordFrame {_frame_from = FrameOffset 20930, _frame_to = FrameOffset 21022, _frame_word = ""},WordFrame {_frame_from = FrameOffset 21023, _frame_to = FrameOffset 21111, _frame_word = ""},WordFrame {_frame_from = FrameOffset 21112, _frame_to = FrameOffset 21137, _frame_word = ""},WordFrame {_frame_from = FrameOffset 21138, _frame_to = FrameOffset 21182, _frame_word = "wire(2)"},WordFrame {_frame_from = FrameOffset 21183, _frame_to = FrameOffset 21227, _frame_word = ""},WordFrame {_frame_from = FrameOffset 21228, _frame_to = FrameOffset 21246, _frame_word = "well"},WordFrame {_frame_from = FrameOffset 21247, _frame_to = FrameOffset 21286, _frame_word = "all"},WordFrame {_frame_from = FrameOffset 21287, _frame_to = FrameOffset 21289, _frame_word = ""},WordFrame {_frame_from = FrameOffset 21290, _frame_to = FrameOffset 21325, _frame_word = "love"},WordFrame {_frame_from = FrameOffset 21326, _frame_to = FrameOffset 21331, _frame_word = ""},WordFrame {_frame_from = FrameOffset 21332, _frame_to = FrameOffset 21351, _frame_word = "is"},WordFrame {_frame_from = FrameOffset 21352, _frame_to = FrameOffset 21381, _frame_word = "the"},WordFrame {_frame_from = FrameOffset 21382, _frame_to = FrameOffset 21405, _frame_word = "it"},WordFrame {_frame_from = FrameOffset 21406, _frame_to = FrameOffset 21444, _frame_word = ""},WordFrame {_frame_from = FrameOffset 21445, _frame_to = FrameOffset 21463, _frame_word = "just(2)"},WordFrame {_frame_from = FrameOffset 21464, _frame_to = FrameOffset 21487, _frame_word = "follow"},WordFrame {_frame_from = FrameOffset 21488, _frame_to = FrameOffset 21500, _frame_word = "your(2)"},WordFrame {_frame_from = FrameOffset 21501, _frame_to = FrameOffset 21546, _frame_word = "heart"},WordFrame {_frame_from = FrameOffset 21547, _frame_to = FrameOffset 21604, _frame_word = ""},WordFrame {_frame_from = FrameOffset 21605, _frame_to = FrameOffset 21641, _frame_word = "beat"},WordFrame {_frame_from = FrameOffset 21642, _frame_to = FrameOffset 21692, _frame_word = ""},WordFrame {_frame_from = FrameOffset 21693, _frame_to = FrameOffset 21795, _frame_word = ""},WordFrame {_frame_from = FrameOffset 21796, _frame_to = FrameOffset 21876, _frame_word = ""},WordFrame {_frame_from = FrameOffset 21877, _frame_to = FrameOffset 21894, _frame_word = "the"},WordFrame {_frame_from = FrameOffset 21895, _frame_to = FrameOffset 21977, _frame_word = ""},WordFrame {_frame_from = FrameOffset 21978, _frame_to = FrameOffset 22185, _frame_word = "poop"},WordFrame {_frame_from = FrameOffset 22186, _frame_to = FrameOffset 22200, _frame_word = ""},WordFrame {_frame_from = FrameOffset 22201, _frame_to = FrameOffset 22241, _frame_word = ""},WordFrame {_frame_from = FrameOffset 22242, _frame_to = FrameOffset 22254, _frame_word = "the"},WordFrame {_frame_from = FrameOffset 22255, _frame_to = FrameOffset 22299, _frame_word = ""},WordFrame {_frame_from = FrameOffset 22300, _frame_to = FrameOffset 22357, _frame_word = "park"},WordFrame {_frame_from = FrameOffset 22358, _frame_to = FrameOffset 22369, _frame_word = ""},WordFrame {_frame_from = FrameOffset 22370, _frame_to = FrameOffset 22390, _frame_word = "il"},WordFrame {_frame_from = FrameOffset 22391, _frame_to = FrameOffset 22408, _frame_word = "en"},WordFrame {_frame_from = FrameOffset 22409, _frame_to = FrameOffset 22470, _frame_word = "una"},WordFrame {_frame_from = FrameOffset 22471, _frame_to = FrameOffset 22553, _frame_word = "float"},WordFrame {_frame_from = FrameOffset 22554, _frame_to = FrameOffset 22584, _frame_word = ""},WordFrame {_frame_from = FrameOffset 22585, _frame_to = FrameOffset 22628, _frame_word = "draw"},WordFrame {_frame_from = FrameOffset 22629, _frame_to = FrameOffset 22674, _frame_word = "[SPEECH]"},WordFrame {_frame_from = FrameOffset 22675, _frame_to = FrameOffset 22706, _frame_word = "that"},WordFrame {_frame_from = FrameOffset 22707, _frame_to = FrameOffset 22742, _frame_word = "day"},WordFrame {_frame_from = FrameOffset 22743, _frame_to = FrameOffset 22763, _frame_word = "then"},WordFrame {_frame_from = FrameOffset 22764, _frame_to = FrameOffset 22788, _frame_word = "the(2)"},WordFrame {_frame_from = FrameOffset 22789, _frame_to = FrameOffset 22844, _frame_word = "breast"},WordFrame {_frame_from = FrameOffset 22845, _frame_to = FrameOffset 22895, _frame_word = ""},WordFrame {_frame_from = FrameOffset 22896, _frame_to = FrameOffset 22936, _frame_word = ""},WordFrame {_frame_from = FrameOffset 22937, _frame_to = FrameOffset 22946, _frame_word = ""},WordFrame {_frame_from = FrameOffset 22947, _frame_to = FrameOffset 22966, _frame_word = "which"},WordFrame {_frame_from = FrameOffset 22967, _frame_to = FrameOffset 22977, _frame_word = "are"},WordFrame {_frame_from = FrameOffset 22978, _frame_to = FrameOffset 22993, _frame_word = "just(2)"},WordFrame {_frame_from = FrameOffset 22994, _frame_to = FrameOffset 23007, _frame_word = "the(2)"},WordFrame {_frame_from = FrameOffset 23008, _frame_to = FrameOffset 23040, _frame_word = "usual(2)"},WordFrame {_frame_from = FrameOffset 23041, _frame_to = FrameOffset 23108, _frame_word = "suspects"},WordFrame {_frame_from = FrameOffset 23109, _frame_to = FrameOffset 23137, _frame_word = "as(2)"},WordFrame {_frame_from = FrameOffset 23138, _frame_to = FrameOffset 23182, _frame_word = "bloated"},WordFrame {_frame_from = FrameOffset 23183, _frame_to = FrameOffset 23200, _frame_word = "for(2)"},WordFrame {_frame_from = FrameOffset 23201, _frame_to = FrameOffset 23235, _frame_word = "setting"},WordFrame {_frame_from = FrameOffset 23236, _frame_to = FrameOffset 23250, _frame_word = "up"},WordFrame {_frame_from = FrameOffset 23251, _frame_to = FrameOffset 23336, _frame_word = "space"},WordFrame {_frame_from = FrameOffset 23337, _frame_to = FrameOffset 23424, _frame_word = ""},WordFrame {_frame_from = FrameOffset 23425, _frame_to = FrameOffset 23461, _frame_word = ""},WordFrame {_frame_from = FrameOffset 23462, _frame_to = FrameOffset 23498, _frame_word = ""},WordFrame {_frame_from = FrameOffset 23499, _frame_to = FrameOffset 23511, _frame_word = ""},WordFrame {_frame_from = FrameOffset 23512, _frame_to = FrameOffset 23528, _frame_word = "which"},WordFrame {_frame_from = FrameOffset 23529, _frame_to = FrameOffset 23611, _frame_word = "prevents(2)"},WordFrame {_frame_from = FrameOffset 23612, _frame_to = FrameOffset 23665, _frame_word = ""},WordFrame {_frame_from = FrameOffset 23666, _frame_to = FrameOffset 23703, _frame_word = ""},WordFrame {_frame_from = FrameOffset 23704, _frame_to = FrameOffset 23744, _frame_word = ""},WordFrame {_frame_from = FrameOffset 23745, _frame_to = FrameOffset 23756, _frame_word = ""},WordFrame {_frame_from = FrameOffset 23757, _frame_to = FrameOffset 23784, _frame_word = ""},WordFrame {_frame_from = FrameOffset 23785, _frame_to = FrameOffset 23817, _frame_word = ""},WordFrame {_frame_from = FrameOffset 23818, _frame_to = FrameOffset 23845, _frame_word = ""},WordFrame {_frame_from = FrameOffset 23846, _frame_to = FrameOffset 23882, _frame_word = ""},WordFrame {_frame_from = FrameOffset 23883, _frame_to = FrameOffset 23899, _frame_word = ""},WordFrame {_frame_from = FrameOffset 23900, _frame_to = FrameOffset 23926, _frame_word = ""},WordFrame {_frame_from = FrameOffset 23927, _frame_to = FrameOffset 23935, _frame_word = "the(2)"},WordFrame {_frame_from = FrameOffset 23936, _frame_to = FrameOffset 24009, _frame_word = "processor"},WordFrame {_frame_from = FrameOffset 24010, _frame_to = FrameOffset 24031, _frame_word = "ram"},WordFrame {_frame_from = FrameOffset 24032, _frame_to = FrameOffset 24052, _frame_word = "their"},WordFrame {_frame_from = FrameOffset 24053, _frame_to = FrameOffset 24120, _frame_word = "space"},WordFrame {_frame_from = FrameOffset 24121, _frame_to = FrameOffset 24132, _frame_word = ""},WordFrame {_frame_from = FrameOffset 24133, _frame_to = FrameOffset 24146, _frame_word = "and(2)"},WordFrame {_frame_from = FrameOffset 24147, _frame_to = FrameOffset 24175, _frame_word = "harry"},WordFrame {_frame_from = FrameOffset 24176, _frame_to = FrameOffset 24196, _frame_word = "that's"},WordFrame {_frame_from = FrameOffset 24197, _frame_to = FrameOffset 24218, _frame_word = "your"},WordFrame {_frame_from = FrameOffset 24219, _frame_to = FrameOffset 24239, _frame_word = "little"},WordFrame {_frame_from = FrameOffset 24240, _frame_to = FrameOffset 24271, _frame_word = "hell"},WordFrame {_frame_from = FrameOffset 24272, _frame_to = FrameOffset 24300, _frame_word = "well"},WordFrame {_frame_from = FrameOffset 24301, _frame_to = FrameOffset 24327, _frame_word = "as"},WordFrame {_frame_from = FrameOffset 24328, _frame_to = FrameOffset 24344, _frame_word = ""},WordFrame {_frame_from = FrameOffset 24345, _frame_to = FrameOffset 24357, _frame_word = "to"},WordFrame {_frame_from = FrameOffset 24358, _frame_to = FrameOffset 24385, _frame_word = "figure"},WordFrame {_frame_from = FrameOffset 24386, _frame_to = FrameOffset 24400, _frame_word = "out"},WordFrame {_frame_from = FrameOffset 24401, _frame_to = FrameOffset 24412, _frame_word = "how"},WordFrame {_frame_from = FrameOffset 24413, _frame_to = FrameOffset 24445, _frame_word = "love"},WordFrame {_frame_from = FrameOffset 24446, _frame_to = FrameOffset 24493, _frame_word = "works"},WordFrame {_frame_from = FrameOffset 24494, _frame_to = FrameOffset 24577, _frame_word = ""},WordFrame {_frame_from = FrameOffset 24578, _frame_to = FrameOffset 24597, _frame_word = ""},WordFrame {_frame_from = FrameOffset 24598, _frame_to = FrameOffset 24624, _frame_word = "but"},WordFrame {_frame_from = FrameOffset 24625, _frame_to = FrameOffset 24651, _frame_word = "it"},WordFrame {_frame_from = FrameOffset 24652, _frame_to = FrameOffset 24670, _frame_word = "is"},WordFrame {_frame_from = FrameOffset 24671, _frame_to = FrameOffset 24682, _frame_word = "to"},WordFrame {_frame_from = FrameOffset 24683, _frame_to = FrameOffset 24708, _frame_word = ""},WordFrame {_frame_from = FrameOffset 24709, _frame_to = FrameOffset 24716, _frame_word = "do"},WordFrame {_frame_from = FrameOffset 24717, _frame_to = FrameOffset 24751, _frame_word = "that"},WordFrame {_frame_from = FrameOffset 24752, _frame_to = FrameOffset 24788, _frame_word = "change"},WordFrame {_frame_from = FrameOffset 24789, _frame_to = FrameOffset 24799, _frame_word = "the"},WordFrame {_frame_from = FrameOffset 24800, _frame_to = FrameOffset 24858, _frame_word = "state"},WordFrame {_frame_from = FrameOffset 24859, _frame_to = FrameOffset 24875, _frame_word = "[SPEECH]"},WordFrame {_frame_from = FrameOffset 24876, _frame_to = FrameOffset 24891, _frame_word = ""},WordFrame {_frame_from = FrameOffset 24892, _frame_to = FrameOffset 24910, _frame_word = "[SPEECH]"},WordFrame {_frame_from = FrameOffset 24911, _frame_to = FrameOffset 24931, _frame_word = "for"},WordFrame {_frame_from = FrameOffset 24932, _frame_to = FrameOffset 24984, _frame_word = "example"},WordFrame {_frame_from = FrameOffset 24985, _frame_to = FrameOffset 25007, _frame_word = "with(2)"},WordFrame {_frame_from = FrameOffset 25008, _frame_to = FrameOffset 25094, _frame_word = "collisions"},WordFrame {_frame_from = FrameOffset 25095, _frame_to = FrameOffset 25148, _frame_word = ""},WordFrame {_frame_from = FrameOffset 25149, _frame_to = FrameOffset 25162, _frame_word = "in"},WordFrame {_frame_from = FrameOffset 25163, _frame_to = FrameOffset 25183, _frame_word = "our(2)"},WordFrame {_frame_from = FrameOffset 25184, _frame_to = FrameOffset 25232, _frame_word = ""},WordFrame {_frame_from = FrameOffset 25233, _frame_to = FrameOffset 25239, _frame_word = ""},WordFrame {_frame_from = FrameOffset 25240, _frame_to = FrameOffset 25266, _frame_word = "face"},WordFrame {_frame_from = FrameOffset 25267, _frame_to = FrameOffset 25277, _frame_word = "a(2)"},WordFrame {_frame_from = FrameOffset 25278, _frame_to = FrameOffset 25303, _frame_word = "slow"},WordFrame {_frame_from = FrameOffset 25304, _frame_to = FrameOffset 25349, _frame_word = "moving"},WordFrame {_frame_from = FrameOffset 25350, _frame_to = FrameOffset 25370, _frame_word = "once"},WordFrame {_frame_from = FrameOffset 25371, _frame_to = FrameOffset 25383, _frame_word = "you"},WordFrame {_frame_from = FrameOffset 25384, _frame_to = FrameOffset 25431, _frame_word = "live"},WordFrame {_frame_from = FrameOffset 25432, _frame_to = FrameOffset 25495, _frame_word = ""},WordFrame {_frame_from = FrameOffset 25496, _frame_to = FrameOffset 25534, _frame_word = ""},WordFrame {_frame_from = FrameOffset 25535, _frame_to = FrameOffset 25590, _frame_word = ""},WordFrame {_frame_from = FrameOffset 25591, _frame_to = FrameOffset 25635, _frame_word = ""},WordFrame {_frame_from = FrameOffset 25636, _frame_to = FrameOffset 25648, _frame_word = "in"},WordFrame {_frame_from = FrameOffset 25649, _frame_to = FrameOffset 25669, _frame_word = "key"},WordFrame {_frame_from = FrameOffset 25670, _frame_to = FrameOffset 25716, _frame_word = "presses(2)"},WordFrame {_frame_from = FrameOffset 25717, _frame_to = FrameOffset 25728, _frame_word = "the"},WordFrame {_frame_from = FrameOffset 25729, _frame_to = FrameOffset 25771, _frame_word = "family"},WordFrame {_frame_from = FrameOffset 25772, _frame_to = FrameOffset 25814, _frame_word = "isn't"},WordFrame {_frame_from = FrameOffset 25815, _frame_to = FrameOffset 25831, _frame_word = "going(2)"},WordFrame {_frame_from = FrameOffset 25832, _frame_to = FrameOffset 25839, _frame_word = "to(3)"},WordFrame {_frame_from = FrameOffset 25840, _frame_to = FrameOffset 25881, _frame_word = ""},WordFrame {_frame_from = FrameOffset 25882, _frame_to = FrameOffset 25907, _frame_word = ""},WordFrame 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20733, _frame_word = "like"},WordFrame {_frame_from = FrameOffset 20734, _frame_to = FrameOffset 20762, _frame_word = "you"},WordFrame {_frame_from = FrameOffset 20763, _frame_to = FrameOffset 20794, _frame_word = "tube(2)"},WordFrame {_frame_from = FrameOffset 20795, _frame_to = FrameOffset 20819, _frame_word = "and(2)"},WordFrame {_frame_from = FrameOffset 20820, _frame_to = FrameOffset 20826, _frame_word = "the"},WordFrame {_frame_from = FrameOffset 20827, _frame_to = FrameOffset 20856, _frame_word = "league"},WordFrame {_frame_from = FrameOffset 20857, _frame_to = FrameOffset 20879, _frame_word = "will"},WordFrame {_frame_from = FrameOffset 20880, _frame_to = FrameOffset 20918, _frame_word = "be"},WordFrame {_frame_from = FrameOffset 20919, _frame_to = FrameOffset 20921, _frame_word = ""},WordFrame {_frame_from = FrameOffset 20922, _frame_to = FrameOffset 20932, _frame_word = "run"},WordFrame {_frame_from = FrameOffset 20933, _frame_to = FrameOffset 20950, _frame_word = 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"not"},WordFrame {_frame_from = FrameOffset 21774, _frame_to = FrameOffset 21802, _frame_word = "all"},WordFrame {_frame_from = FrameOffset 21803, _frame_to = FrameOffset 21813, _frame_word = ""},WordFrame {_frame_from = FrameOffset 21814, _frame_to = FrameOffset 21843, _frame_word = ""},WordFrame {_frame_from = FrameOffset 21844, _frame_to = FrameOffset 21904, _frame_word = "headed"},WordFrame {_frame_from = FrameOffset 21905, _frame_to = FrameOffset 21956, _frame_word = ""},WordFrame {_frame_from = FrameOffset 21957, _frame_to = FrameOffset 21978, _frame_word = "go"},WordFrame {_frame_from = FrameOffset 21979, _frame_to = FrameOffset 22003, _frame_word = "to"},WordFrame {_frame_from = FrameOffset 22004, _frame_to = FrameOffset 22018, _frame_word = "the"},WordFrame {_frame_from = FrameOffset 22019, _frame_to = FrameOffset 22058, _frame_word = "budget"},WordFrame {_frame_from = FrameOffset 22059, _frame_to = FrameOffset 22071, _frame_word = ""},WordFrame {_frame_from = FrameOffset 22072, _frame_to = FrameOffset 22107, _frame_word = "eat"},WordFrame {_frame_from = FrameOffset 22108, _frame_to = FrameOffset 22127, _frame_word = "all"},WordFrame {_frame_from = FrameOffset 22128, _frame_to = FrameOffset 22138, _frame_word = "that(2)"},WordFrame {_frame_from = FrameOffset 22139, _frame_to = FrameOffset 22160, _frame_word = "but"},WordFrame {_frame_from = FrameOffset 22161, _frame_to = FrameOffset 22176, _frame_word = "you're"},WordFrame {_frame_from = FrameOffset 22177, _frame_to = FrameOffset 22180, _frame_word = ""},WordFrame {_frame_from = FrameOffset 22181, _frame_to = FrameOffset 22240, _frame_word = "located"},WordFrame {_frame_from = FrameOffset 22241, _frame_to = FrameOffset 22259, _frame_word = "on"},WordFrame {_frame_from = FrameOffset 22260, _frame_to = FrameOffset 22273, _frame_word = "the(2)"},WordFrame {_frame_from = FrameOffset 22274, _frame_to = FrameOffset 22285, _frame_word = ""},WordFrame {_frame_from = FrameOffset 22286, _frame_to = FrameOffset 22305, _frame_word = "a(2)"},WordFrame {_frame_from = FrameOffset 22306, _frame_to = FrameOffset 22308, _frame_word = ""}] - - -spec :: Spec -spec = do - describe "Emperical Speech recognition aligment for love2d vid" $ do - it "should have the first word on" - $ toDiffTime (toFrameOffset 18827) (toFrameOffset 18887) - `shouldBe` 6 - describe "Emperical Speech recognition aligment for intro vid" $ do - it "should be just this" - $ toDiffTime (toFrameOffset 11645) (toFrameOffset 11852) - `shouldBe` 3 -