whisper-diarization
SpeechRecognition
| whisper-diarization | SpeechRecognition | |
|---|---|---|
| 5 | 16 | |
| 2,101 | 8,061 | |
| - | - | |
| 6.8 | 8.7 | |
| 6 days ago | 10 days ago | |
| Jupyter Notebook | Python | |
| BSD 2-clause "Simplified" License | BSD 3-clause "New" or "Revised" License |
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whisper-diarization
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MacWhisper: Transcribe audio files on your Mac
https://github.com/MahmoudAshraf97/whisper-diarization
This project has been alright for transcribing audio with speaker diarization. A big finicky. The OpenAI model is better than other paid products(Descript, Riverside) so Iām looking forward to trying MacWhisper.
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Faster Whisper Transcription with CTranslate2
The project page mentions whisper-diarization (speaker recognition) as a user of faster-whisper. I've been in the market for that, definitely going to try it out.
https://github.com/MahmoudAshraf97/whisper-diarization
- GitHub - MahmoudAshraf97/whisper-diarization: Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
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AI or technique for distinguishing between speakers for podcast?
Here
- Services for transcription
SpeechRecognition
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help with script (beginner)
Start and Stop Listening Example
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MacWhisper: Transcribe audio files on your Mac
There is a great library that has support not only with OpenAIs whisper but many others that also work offline. https://github.com/Uberi/speech_recognition
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Unpopular Opinion: a lot of Obsidian community make Obsidian sound like something cringey/productivity guru-y
This is the library: https://github.com/Uberi/speech_recognition
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Nvim-VoiceRec : Add Speech-To-Text To Neovim! (useful for gpt)
It is python remote plugin that is a tin wrapper around speech_recognition package.
- Speech-to-text software
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Voice commands in Doom Eternal possible?
I am less familiar with speech recognition myself. I have implemented something similar many years ago, back when Google had a REST API that allowed you to upload audio and they would respond with the recognized words/sentence. I think they still have the same API available, though. They limited how much you could send, but for voice commands it was pretty solid. However, SpeechRecognition looks like a library worth trying out for this, as that seems like it could do offline processing depending on the underlying library. They also have some examples to look at.
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Build Simple CLI-Based Voice Assistant with PyAudio, Speech Recognition, pyttsx3 and SerpApi
SpeechRecognition
- Need help with speech recognition
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Wiki for the podcast
I found this one here
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How to use my speaker as input and my mic as output?
https://github.com/Uberi/speech_recognition/blob/master/reference/library-reference.rst this might help. I guess your best bet is to rtfm.
What are some alternatives?
faster-whisper - Faster Whisper transcription with CTranslate2
pydub - Manipulate audio with a simple and easy high level interface
speechbrain - A PyTorch-based Speech Toolkit
pyAudioAnalysis - Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
whisper-youtube - š Youtube Videos Transcription with OpenAI's Whisper
allosaurus - Allosaurus is a pretrained universal phone recognizer for more than 2000 languages
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
aeneas - aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
audapolis - an editor for spoken-word audio with automatic transcription
speech-to-text-websockets-python
tinydiarize - Minimal extension of OpenAI's Whisper adding speaker diarization with special tokens
speechpy - :speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/