Synthalingua
SpeechRecognition
Synthalingua | SpeechRecognition | |
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6 | 16 | |
178 | 8,071 | |
- | - | |
9.0 | 8.7 | |
14 days ago | 16 days ago | |
Python | Python | |
GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
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Synthalingua
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Whisper as a PUSH to STT to Clipboard solution?
I've been working on this for a live translation/transcription sort of thing: https://github.com/cyberofficial/Synthalingua
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Synthalingua, The AI Real Time Translation App - After many months of training and improvements, It will now will handle any spoken language and translate out to any desired language. In a few weeks the update will be out.
You can already try the alpha version of the stand alone program on the Release Page of the source code. Comes with 2 files, a easy to edit file and the main program. Needs the script to run for now.
- Whisper Auto Transcribe - An all-in-one solution for automatic transcription
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Few days ago I said I created a tool for locally hosted live translations. I've released it on github as open source like I said I would.
You can report issues here: https://github.com/cyberofficial/Synthalingua/issues
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?
kanatran - Kanatran has been discontinued. Please read our announcement post.
pydub - Manipulate audio with a simple and easy high level interface
Transcriptify - One script that uses OpenAI to transcribe audio into text.
pyAudioAnalysis - Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
allosaurus - Allosaurus is a pretrained universal phone recognizer for more than 2000 languages
aeneas - aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
speech-to-text-websockets-python
speechpy - :speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
Watson Developer Cloud Python SDK - :snake: Client library to use the IBM Watson services in Python and available in pip as watson-developer-cloud
librosa - Python library for audio and music analysis
pysle - Python interface to ISLEX, an English IPA pronunciation dictionary with syllable and stress marking.
praatIO - A python library for working with praat, textgrids, time aligned audio transcripts, and audio files. It is primarily used for extracting features from and making manipulations on audio files given hierarchical time-aligned transcriptions (utterance > word > syllable > phone, etc).