A speech recognizer that can run on the browser, inspired by vosk-browser

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.

🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

Speech recognition and text transcription from file or microphone

Transcription of an mp3 file into text (Speech Recognition)

Identify speaker from given speech signal using MFCC features and Gaussian Mixture Models

Асинхронный Telegram Bot для преобразования коротких голосовых и видеосообщений в текст

SPbAU Speech recognition course, Spring '18

Speech to text using jetpack compose

Example python scripts to evaluate various ASR methods

Trained models for automatic speech recognition (ASR). A library to quickly build applications that require speech to text conversion.

The Conversational Flow combines both native built-in resources and cloud services into a software component capable to run reliably a Speech Synthesizer and a Voice Recognizer.

Simple python script to convert live speech or any audio file to text using Google Speech Rexognition API♥

Chatterbox STT engines

https://tadanospeech2text.web.app/

Transformer-based online speech recognition system with TensorFlow 2

A pytorch based end2end speech recognition system.

End-to-end Solution for Speech Recognition, Text Translation, and Text-to-Speech for iOS using Amazon Translate and Amazon Polly as AWS Machine Learning managed services.

HERE we convert a input by microphone as audio into TEXT as ouput...