speech-recognizer

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

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.

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

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.

It recognize your speech and trained AI Bot will respond(i.e Customer Service, Personal Assistant) using Machine Learning API (DialogFlow, apiai), Speech Recognition, GraphQL, Next.js, React, redux

Transformer-based online speech recognition system with TensorFlow 2