DeepSpeech Alternatives
Similar projects and alternatives to DeepSpeech
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Kaldi Speech Recognition Toolkit
kaldi-asr/kaldi is the official location of the Kaldi project.
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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common-voice
Common Voice is part of Mozilla's initiative to help teach machines how real people speak.
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TTS
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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STT
The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
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TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production (by coqui-ai)
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obs-studio
OBS Studio - Free and open source software for live streaming and screen recording
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OCRmyPDF
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
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PaddleSpeech
Easy-to-use Speech Toolkit including SOTA ASR pipeline, influential TTS with text frontend and End-to-End Speech Simultaneous Translation.
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AnySoftKeyboard
Android (f/w 2.1+) on screen keyboard for multiple languages (chat https://gitter.im/AnySoftKeyboard)
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silero-models
Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
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Reviews and mentions
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I have 10,000 hours of audio files I'd like transcribed.
You might be able to get some success with Project DeepSpeech
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Audio to text transcription
If you care about privacy, the only solution I know of is to use Mozilla's DeepSpeech offline.
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I am working on a Speech-To-Text transcriber. Any projects, tutorials or tips?
DeepSpeech is a good project to check out https://github.com/mozilla/DeepSpeech . The easiest approach is to probably use one of their models and fine tune it. There is also Kaldi, CMUSphinx but they are more focused around academia.
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Ask HN: Private Alternatives to Alexa?
This is more of a "DIY" approach but all the tools are there for FOSS and OSHWA solutions.
Mozilla has DeepSpeech [0] and, while not as advanced as the stuff from Google or Amazon, my experimentation left me feeling pretty hopeful that it could reliably recognize at least keywords.
The Raspberry Pi is quite capable though you'll probably need some dedicated microphone to reliably catch voice data. I know ReSpeaker [1] but maybe some off the shelf conference USB microphones would work as well.
[0] https://github.com/mozilla/DeepSpeech
[1] https://wiki.seeedstudio.com/ReSpeaker_4_Mic_Array_for_Raspb...
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Help picking a good speech recognition library
https://github.com/mozilla/DeepSpeech (no longer actively supported by Mozilla but still a pretty good library, relatively easy to use, and decent out of the box accuracy)
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Is there a viable AOSP speech-to-text app?
Tried Kõnele but no dice. DeepSpeech looks promising but will it install/run on AOSP?
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suggestions for live speech recognition?
https://github.com/mozilla/DeepSpeech is a good Python lib that supports offline live transcription on an RPi
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Mp4grep – search in transcriptions of audio/video files
How's the quality of Vosk compared to Mozilla DeepSpeech [1]?
Most of offline the Speech to Text tools I know have a bad model that will have a hard time at understanding anything that is not English :(
Mozilla DeepSpeech seems to have well trained models, from what I remember.
- Offline speech to text software
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What happened to the RTS genre? What's upcoming for the RTS genre?
Personally I am surprised there hasn't been more movement in the field too. Like I remember seeing games experiment with voice control (and with open-source software for voice control like Mycroft + Mozzilla's deepspeech it seems like this would be more accessible for smaller time devs) and the advancement of advance AI opponents using ML like you mentioned it seems like the is a place for new features to the genre, but maybe these just aren't significant enough. Maybe VR for 3d space battles or something.
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Monday Daily Thread: Project ideas!
I looked into this a little bit 2 years ago. I ended up cheating and using the text already available on within youtube captions. You can search the captions by string and return a timecode. You can then chop of the video at that timecode and use ai to play the words at that timecode and slice out that bit of video with ffmpeg. It will shift the timecode left and right until the spoke words match the words your searching for (As the timecodes are sometimes slightly wrong). The ai I used to achieve it was called deepspeach... https://github.com/mozilla/DeepSpeech
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Is there a way to de-amazon an Echo Dot?
You could use something like Mozilla DeepSpeech for this purpose (https://github.com/mozilla/DeepSpeech). It's open source and solely relies on Mozillas Common Voice data and as far as I know it's compatible with Mycroft.ai. The only problem for the outlined workflow would be, that the Model is very bad at recognizing any names (e.g. of bands or musicians) whatsoever, as it only knows dictionary vocabulary afaik
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How long/hard would it be to create a program that takes what you say and translates it into text?
Github
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Voice input option for AnySoftKeyboard?
With all that said Mozilla has an open source STT implementation maybe they managed to train it well enough and an acceptable compromise for you: https://github.com/mozilla/DeepSpeech , https://discourse.mozilla.org/t/offline-speech-recognition-on-mobile/23004
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Mozilla Common Voice Adds 16 New Languages and 4,600 New Hours of Speech
Mozilla announced Deep Speech[1] around the same time as Common Voice.
Mozilla Deep Speech is an open source speech recognition engine, based upon Baidu's Deep Speech research paper.
Unsurprisingly, Deep Speech requires a corpus such as... Common Voice.
[1] https://github.com/mozilla/DeepSpeech
[2] Baidu Deep Speech
Stats
mozilla/DeepSpeech is an open source project licensed under Mozilla Public License 2.0 which is an OSI approved license.
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