speech

Local, OpenAI-compatible text-to-speech (TTS) API using Chatterbox, enabling users to generate voice cloned speech anywhere the OpenAI API is used (e.g. Open WebUI, AnythingLLM, etc.)

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

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.

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

CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages

The dataset of Speech Recognition

HuggingSound: A toolkit for speech-related tasks based on Hugging Face's tools

Dockerfile for WhisperX: Automatic Speech Recognition with Word-Level Timestamps and Speaker Diarization (Dockerfile, CI image build and test)

Cross-platform speech toolset, used from the command-line or as a Node.js library. Includes a variety of engines for speech synthesis, speech recognition, forced alignment, speech translation, voice isolation, language detection and more.

🇺🇦 Speech Recognition & Synthesis for Ukrainian

State-of-the-art (ranked #1 Aug 2022) German Speech Recognition in 284 lines of C++. This is a 100% private 100% offline 100% free CLI tool.

Stream-Omni is a GPT-4o-like language-vision-speech chatbot that simultaneously supports interaction across various modality combinations.

very fast speech-to-text, diarization, streaming (even in CPU) with NVIDIA Parakeet in Rust

Optimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector DB, and RAG.

A live speech recognition using Facebooks wav2vec 2.0 model.

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.

Joint speech-language model - respond directly to audio!

AIUI is a platform enabling seamless two-way verbal communication with AI.

Striving to create a great Application with full functions of learning languages by ChatGPT, TTS, STT and other awesome AI models, supports talking, speaking assessment, memorizing words with contexts, Listening test, so on.

A simple Azure Speech Service module that uses the Microsoft Edge Read Aloud API. https://www.npmjs.com/package/msedge-tts