FunASR: A Comprehensive Speech Recognition Toolkit
FunASR is an ambitious and user-friendly toolkit designed to bridge the gap between academic research and industrial applications in the realm of speech recognition. This project empowers researchers and developers by offering tools that simplify the training and fine-tuning of industrial-grade speech recognition models, fostering the growth of the speech recognition ecosystem. The motto "ASR for Fun" underscores its commitment to making advanced speech recognition accessible and enjoyable for all.
Highlights
FunASR stands out with its wide array of features:
- Core Functions: It includes Automatic Speech Recognition (ASR), Voice Activity Detection (VAD), Punctuation Restoration, Language Modeling, Speaker Verification, Speaker Diarization, and multi-talker ASR functionality.
- Pre-trained Models: A wealth of pre-trained models, both academic and industrial, is offered on platforms like ModelScope and Hugging Face, easily accessible through the toolkit's Model Zoo.
- State-of-the-Art Models: The Paraformer-large model, for instance, is a non-autoregressive, end-to-end speech recognition model known for its high accuracy, efficiency, and easy deployment, thus facilitating the rapid setup of speech recognition services.
What's New
FunASR is constantly evolving, with recent updates including:
- Real-Time and Offline Transcription Services: Enhancements like real-time transcription, support for various models, and fixes for memory leaks.
- Multitasking Models: Integration of models such as Whisper-large-v3-turbo, which can handle multilingual speech recognition, speech translation, and language identification.
- Keyword Spotting: New support added for models capable of keyword detection, both offline and online.
- Emotion Recognition: Introduction of models like emotion2vec+large, capable of recognizing emotions from speech.
Installation
To start using FunASR:
- Ensure you have a Python environment (version 3.8 or higher) with
torchandtorchaudioinstalled. - Install FunASR using pip:
pip3 install -U funasr - For access to pre-trained models, it’s optional to install ModelScope and Hugging Face Hub.
Model Zoo
The Model Zoo in FunASR offers a variety of models, each suited to different tasks such as ASR, speech understanding, emotion recognition, and more. Some notable models include:
- SenseVoiceSmall: Handles multiple speech understanding tasks.
- Paraformer Models: Optimized for both streaming and non-streaming speech recognition.
- Whisper-large-v3: Known for its multilingual capabilities.
Quick Start
FunASR provides detailed guides and scripts for getting started quickly. Users can easily test audio files in both Mandarin and English through simple command-line instructions. For example, using SenseVoice for non-streaming speech recognition involves loading an AutoModel, applying voice activity detection if needed, and processing audio files for transcription.
Overall, FunASR showcases a robust suite of tools and models that significantly streamline the deployment and advancement of speech recognition technologies, effectively serving beginners and experts in the field alike.