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FunASR: 强大的端到端语音识别工具包与SOTA模型
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
Python
Added on 2025年6月19日11,101
Stars1,125
ForksPython
LanguageProject Introduction
Summary
FunASR is a comprehensive, end-to-end open-source toolkit for Automatic Speech Recognition (ASR). It provides fundamental ASR capabilities, includes SOTA pretrained models, and supports related tasks such as Voice Activity Detection (VAD) and text post-processing, aiming to simplify the development and deployment of speech applications.
Problem Solved
Addresses the complexity and high cost of building and deploying accurate speech recognition systems by providing a comprehensive, open-source, and high-performance toolkit with readily available SOTA models.
Core Features
SOTA Pretrained Models
Provides state-of-the-art (SOTA) open-source models for high-accuracy speech recognition.
Voice Activity Detection (VAD)
Includes robust Voice Activity Detection (VAD) capabilities to accurately identify speech segments.
Text Post-processing
Offers text post-processing functionalities for refining transcription outputs.
End-to-End Toolkit
Designed as an end-to-end (E2E) toolkit for streamlined development and deployment.
Tech Stack
Python
PyTorch
Kaldi (potentially for some components)
FastAPI (potentially for serving)
Docker
使用场景
FunASR can be applied in various scenarios requiring speech-to-text capabilities or audio analysis:
会议记录与内容检索
Details
Transcribing audio from meetings, lectures, or interviews for documentation and searchability.
User Value
Significantly reduces manual transcription effort and enables quick keyword search within audio/video archives.
语音助手与智能交互系统
Details
Building backend services for voice assistants, command & control systems, or voice search.
User Value
Provides the core ASR engine required for understanding spoken user input in interactive applications.
批量音频数据分析
Details
Processing large volumes of audio data for analytics, such as call center interactions or media content.
User Value
Automates the conversion of audio to text, facilitating large-scale sentiment analysis, topic modeling, or compliance monitoring.
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