A PyTorch-based Speech Toolkit
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Updated
Dec 9, 2024 - Python
A PyTorch-based Speech Toolkit
The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.
Open source inference code for Rev's model
A Keras CTC implementation of Baidu's DeepSpeech for model experimentation
SDK & Sample to do speech recognition using websockets in Javascript
A desktop application that uses AI to translate voice between languages in real time, while preserving the speaker's tone and emotion.
It is a personal assistant chatbot, capable to perform many tasks same as Google Assistant plus more extra features...
A pytorch based end2end speech recognition system.
WavEncoder is a Python library for encoding audio signals, transforms for audio augmentation, and training audio classification models with PyTorch backend.
Repository containing experimentation platform on how to train, infer on wav2vec2 models.
🙊 Speech Recognition , Text To Speech , Google Translate
Web Browser Audio Detection/Speech Recording Events API
Open source projects related to Snips https://snips.ai/.
Making Espnet easier to use
A python script COMMAND LINE utility to AUTO GENERATE SUBTITLE FILE (using free Google Speech Recognition API) and TRANSLATED SUBTITLE FILE (using unofficial online Google Translate API) for any video or audio file
the first industrial-scale open-source Kazakh speech corpus. KSC2 corpus subsumes the previously introduced two corpora: KSC and KazakhTTS2 and supplements additional data from other sources. KSC2 contains around 1.2k hours of high-quality transcribed data comprising over 600k utterances.
Pytorch based phoneme recognition (TIMIT phoneme classification)
A library for using Web Speech API with Angular
PySimpleGUI based DESKTOP APP that can RECOGNIZE any live streaming in 23 languages that supported by VOSK then TRANSLATE (using unofficial online Google Translate API) and display it as LIVE CAPTION / LIVE SUBTITLE
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