detecting pauses in a spoken word audio file using pymad, pcm, vad, etc

detecting pauses in a spoken word audio file using pymad, pcm, vad, etc

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detecting pauses in a spoken word audio file using pymad, pcm, vad, etc
Tag : development , By : Rob
Date : January 10 2021, 01:47 PM

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How would you compare a spoken word to an audio file?

Tag : iphone , By : Comfly
Date : March 29 2020, 07:55 AM
hop of those help? Sphinx does voice recognition and pocketSphinx has been ported to the iPhone by Brian King
check https://github.com/KingOfBrian/VocalKit

Save the contents of a PDF file as spoken audio using AppleScript

Tag : development , By : Mena
Date : March 29 2020, 07:55 AM
seems to work fine Skim, a free PDF viewer, might be of interest to you. It's scriptable and features an AppleScript command to extract the text from certain PDF pages. Once you've downloaded Skim, you can run this script:
tell application "Skim"
    open (POSIX file "/path/to/PDF/document.pdf")
    set the stuff to (get text for page 1 of document 1) as string --change 'page 1' to whatever page number you need
    --if you want all the pages, just use 'every page'
end tell
say the stuff using "Fred" saving to file (((path to desktop) as string) & "audio.aiff")

How to count the number of spoken syllables in an audio file?

Tag : development , By : mgaspar
Date : March 29 2020, 07:55 AM
With these it helps The automatic segmentation of speech is an active scientific domain, meaning that there is no method that works perfectly.
In 2009, de Jong and Wempe proposed a method to automatically detect syllables in a human speech signal using Praat. This methods compares well with man-made segmentation, and has been employed in many third-party scientific studies. You can find a detailed description of the method in their scientific article (pdf), along with an historical perspective on previously proposed methods. The Praat script per se and a couple of tutorials can be found on a dedicated website (www - speechrate).

Search for a particular spoken word in audio files

Tag : development , By : jim
Date : March 29 2020, 07:55 AM
This might help you You can use CMUSphinx, an open source speech recognition engine which has support for keyword spotting.
1) convert the audio to required format - 16khz 16bit mono files:
 ffmpeg -i file.mp3 -ar 16000 -ac 1 file.wav
  pocketsphinx_continuous -infile file.wav -hmm en-us -kws_threshold 1e-40 -keyphrase "what you need to detect" -time yes

Split audio file but only in pauses

Tag : audio , By : TomL
Date : March 29 2020, 07:55 AM
around this issue Take a look at the sox silence command on the sox webpage.
sox original.wav new.wav silence 1 0.5 2% 1 2.0 2% : newfile : restart
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