377 Open source projects that are alternatives of or similar to Awesome Diarization

a simple speech recognition app using the Web Speech API Interfaces

💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

SincNet is a neural architecture for efficiently processing raw audio samples.

Spokestack: give your React Native app a voice interface!

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.

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

Speech recognition toolkit for the arduino

UniSpeech - Large Scale Self-Supervised Learning for Speech

Pytorch implementation of subband decomposition

Tracking the progress in non-autoregressive generation (translation, transcription, etc.)

This repository is a curated list of awesome Speech Keyword Spotting (Wake-Up Word Detection).

This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.

IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition

iOS application for finding formants in spoken sounds

RETIRED - OpenSTT is now retired. If you would like more information on Mycroft AI's open source STT projects, please visit:

A implementation of Power Normalized Cepstral Coefficients: PNCC

A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.

Spokestack: give your iOS app a voice interface!

[wip]Speech recognition tool-box written by Nim. Based on Arraymancer.

Examples of how to use or integrate DeepSpeech

libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.

Problem Agnostic Speech Encoder

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

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.

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

Alan AI iOS SDK adds a voice assistant or chatbot to your app. Supports Swift, Objective-C.

End-to-End Speech Processing Toolkit

语音api示例

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

Alan AI Flutter SDK adds a voice assistant or chatbot to your app.

Brevitas: quantization-aware training in PyTorch

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

python powered Intelligent System

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

Novoic's audio feature extraction library

A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain

Silero Models: pre-trained STT models and benchmarks made embarrassingly simple

Library to build speech synthesis systems designed for easy and fast prototyping.

On-device speech-to-intent engine powered by deep learning

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

A Flutter plugin to use speech recognition on iOS & Android (Swift/Java)

End-to-end ASR/LM implementation with PyTorch

Python interface to CMU Sphinxbase and Pocketsphinx libraries

A python wrapper for Speech Signal Processing Toolkit (SPTK).

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Production First and Production Ready End-to-End Speech Recognition Toolkit

A neural network for end-to-end speech denoising

⚡️ TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

Alan AI Ionic SDK adds a voice assistant or chatbot to your app. Supports React, Angular.

Alan AI Android SDK adds a voice assistant or chatbot to your app. Supports Java, Kotlin.

Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.

WebSocket, gRPC and WebRTC speech recognition server based on Vosk and Kaldi libraries

Phonetisaurus G2P

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.

A free audio dataset of spoken digits. Think MNIST for audio.

Offline speech recognition for Android with Vosk library.

Alan AI Cordova SDK adds a voice assistant or chatbot to your app.

This is a list of features, scripts, blogs and resources for better using Kaldi ( http://kaldi-asr.org/ )

This repository has implementation for "Neural Voice Cloning With Few Samples"

PocketSphinx is a lightweight speech recognition engine, specifically tuned for handheld and mobile devices, though it works equally well on the desktop