![]() #filename = 'churchill-finest-hour-160k-.mp3'įilepath = os.path.join(filesdir, filename) # make path to the audio file: several input formats are supportedįilename = 'nixon-resignation-cleaned-.ogg' Help: option -y to overwrite existing file. Output: path to output file with extension '.wav' Source: path to source file with extension '.mp3', '.ogg', etc. See which formats are supported by ffmpeg:Ĭonvert common audio file formats like mp3 to the wav format STEP 1: Convert to WAV #!/usr/bin/env python3 Long texts should be read and transcribed in chunks. The audio must first be converted to the correct wav format. Getting started took me a little while, so in this answer I'd like to detail a few steps. The list of supported languages, currently limited, is growing: I was lucky with my needs. The Python package vosk-api ticked my boxes: open source, respects privacy (works 'offline'), and supports the languages I'm interested in: English, French, Spanish. 2014 - Pycon: Using Python to Code by Voice (Tavis Rudd).2016 - The Eleventh HOPE: Coding by Voice with Open Source Speech Recognition (David Williams-King).I am also aware of these two talks exploring Linux option for speech recognition: I am aware of Aenea, which allows speech recognition via Dragonfly on one computer to send events to another, but it has some latency cost: as well as this benchmark of existing speech recognition APIs. I am also aware of this attempt at tracking states of the arts and recent results (bibliography) on speech recognition. (to be released by Google, mentioned at Interspeech 2018).Vox, a system to control a Linux system using Dragon NaturallySpeaking: +.(part of Mozilla's Vaani project: ( mirror)).There exist some very alpha open-source projects: Benchmarks from Gigaom are encouraging as shown in the screenshot below, but I am not aware of any good wrapper around to make it usable without quite some coding (and a large training data set): On Microsoft Windows I use Dragon NaturallySpeaking, on Apple Mac OS X I use Apple Dictation and DragonDictate, on Android I use Google speech recognition, and on iOS I use the built-in Apple speech recognition.īaidu Research released yesterday the code for its speech recognition library using Connectionist Temporal Classification implemented with Torch. As for Wine + Dragon NaturallySpeaking, in my experience it keeps crashing, and I don't seem to be the only one to have such issues unfortunately. By poor accuracy, I mean an accuracy significantly below the one the speech recognition software I mentioned below for other platforms have. Wine + Dragon NaturallySpeaking + NatLink + dragonfly + damselflyĪll the above-mentioned native Linux solutions have both poor accuracy and usability (or some don't allow free-text dictation but only voice commands).silvius (built on the Kaldi speech recognition toolkit).IBM ViaVoice (used to run on Linux but was discontinued years ago). ![]() Some list I did when asking Is there any decent speech recognition software for Linux?: Getting started took me a little while, so I'm going to add an answer below detailing the steps I followed to get my first audio file transcribed with Python's vosk-api. It is open source, respects privacy, and currently supports the languages I'm interested in: English, French, Spanish. My impression was I would have better luck with a Python library.Īfter exploring some (but not all!) of the available options, I chose Nikolay's suggestion to try Vosk. ![]() The Google, Apple, Microsoft, IBM corporations all have some software that might tick quite a few of the boxes, but is the content really kept offline? Source material would be things like personal interviews - can't risk a leak. Added: A free or inexpensive bundled app that satisfies all the criteria listed would be great, if it exists. The speech is slow and articulate (my android/iphones have no problem understanding it). Speed and accuracy are not a big deal, if I can get 70% recognition that would be great. Is CMUSphinx what I need? How about pocketsphinx (install failed for me)? How about Kaldi? How about the IBM Watson library? That would be my first choice, if it can support at least English and French (Spanish a bonus) and allow privacy - as in secrecy - as I have a Python 3.8 and IDE set up. I have done a quick search and have come across this Python library: Speech Recognition.
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