DeepSpeech is an open source speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

kaldi-asr/kaldi is the official location of the Kaldi project.

💬 Speech recognition for your site

Speech recognition module for Python, supporting several engines and APIs, online and offline.

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

Lingvo

🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Kalliope is a framework that will help you to create your own personal assistant.

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

the open-source virtual assistant for Ubuntu based Linux distributions

A PaddlePaddle implementation of DeepSpeech2 architecture for ASR.

A voice control - voice commands - speech recognition and speech synthesis javascript library. Create your own siri,google now or cortana with Google Chrome within your website.

A TensorFlow Implementation of DC-TTS: yet another text-to-speech model

Botium Speech Processing

Descriptive Deep Learning

Stephanie is an open-source platform built specifically for voice-controlled applications as well as to automate daily tasks imitating much of an virtual assistant's work.

The official repository of the Eesen project

An asynchronized Python library to automate solving ReCAPTCHA v2 using audio

Adapt Intent Parser

@voicybot Telegram bot main repository

💬 /so.nus/ STT (speech to text) for Node with offline hotword detection

Open STT

Node.js client for Google Cloud Speech: Speech to text conversion powered by machine learning.

The J.A.R.V.I.S. Speech API is designed to be simple and efficient, using the speech engines created by Google to provide functionality for parts of the API. Essentially, it is an API written in Java, including a recognizer, synthesizer, and a microphone capture utility. The project uses Google services for the synthesizer and recognizer. While this requires an Internet connection, it provides a complete, modern, and fully functional speech API in Java.

speech to text benchmark framework

🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI