asr

Official Go SDK for Deepgram.

An open source chat bot architecture for voice/vision (and multimodal) assistants, local(CPU/GPU bound) and remote(I/O bound) to run.

一个中文语音转文字项目，封装自FireRedASR

Privacy-conscious, open-source AI voice typing for Windows.

Speech Recognition model based off of FAIR research paper built using Pytorch.

极简语音输入法，利用豆包 Web 语音识别实现全局听写。支持 macOS 、Windows 与 Linux/SteamOS（Steam Deck 手柄一键语音输入）

ChunkFormer: Masked Chunking Conformer For Long-Form Speech Transcription

An automatic speech recognition API

AI Speech Solutions for Tasks such as ASR, Vocal Extraction, Accompaniment Extraction, Audio Denoising, and Enhancement, Support models such as paraformer, sensevoice, fireredasr, zipformer, moonshine, wenet, whisper, fsmn-vad, silero-vad, CT Transformer punc, Spleeter, Uvr5, etc, apply ONNX models in various scenarios.

[ICASSP 2020] CIF: Continuous Integrate-and-Fire for End-to-End Speech Recognition (A PyTorch implementation of Continuous Integrate-and-Fire mechanism).

:white_check_mark: A list of speech recognition learning resources including courses, books, tutorials, papers and toolkits.

【AIGC 实战入门笔记 —— AIGC 摩天大楼】分享 大语言模型（LLMs），大模型高效微调（SFT）,检索增强生成（RAG），智能体（Agent），PPT自动生成, 角色扮演，文生图（Stable Diffusion） ，图像文字识别（OCR），语音识别（ASR），语音合成（TTS），人像分割（SA），多模态（VLM），Ai 换脸(Face Swapping), 文生视频(VD)，图生视频（SVD），Ai 动作迁移，Ai 虚拟试衣，数字人，全模态理解（Omni），Ai音乐生成 干货学习 等 实战与经验。

The AssemblyAI JavaScript SDK provides an easy-to-use interface for interacting with the AssemblyAI API, which supports async and real-time transcription, audio intelligence models, as well as the latest LeMUR models.

Local-first meeting transcription — audio & transcripts never leave your machine. Live captions + upload diarization + voice matching.

whisper-cpp-serve Real-time speech recognition and c+ of OpenAI's Whisper model in C/C++

This repository focuses on leveraging OpenAI's Whisper model for speech recognition in Chinese (Mandarin) and Taiwanese Hokkien languages. It includes tools and scripts for data preprocessing, model training, and evaluation, tailored to improve speech recognition accuracy for these languages.

A Wyoming protocol ASR proxy that verifies speaker identity and isolates voice commands from background noise before forwarding audio to a downstream speech-to-text service. Designed for Home Assistant voice pipelines to prevent false activations from TVs, radios, and other people - and to deliver clean transcripts even in noisy environments.

Give your tools a voice — speech to text and back, 25 languages, up to ~19× faster than Whisper. On your machine.

Taiwan Tongues ASR CE 是一個開源語音辨識（Automatic Speech Recognition, ASR）模型專案，專為台灣多元語言環境設計。 本模型支援 國語、台語、客語與英語，提供本地多語混合語音辨識，讓開發者與資訊服務業者可運用此開源模型進行 ASR 模型訓練、微調與發展在地化應用，以低成本、高效率進行 ASR 語音應用落地與智慧服務創新。 本專案為數位發展部數位產業署「114年數位產業跨域軟體基盤系統建置案」之實證成果之一，旨在推動台灣語音技術開源生態，協助資訊服務業者強化智慧應用能量，落實在地 AI 技術自主發展，由台灣大哥大執行與維護。

Turn raw footage into brand-ready, platform-optimized video with one command. Local-first: FFmpeg + WhisperX/MLX + Ollama.