SenseVoiceSmall
Multilingual high-precision speech recognition model
Product Details
SenseVoiceSmall is a basic speech model with multiple speech understanding capabilities, including automatic speech recognition (ASR), spoken language recognition (LID), speech emotion recognition (SER) and audio event detection (AED). This model has been trained with more than 400,000 hours of data, supports more than 50 languages, and has recognition performance that surpasses the Whisper model. Its small model SenseVoice-Small uses a non-autoregressive end-to-end framework and has extremely low inference latency. It only takes 70 milliseconds to process 10 seconds of audio, which is 15 times faster than Whisper-Large. In addition, SenseVoice also provides convenient fine-tuning scripts and strategies, and supports service deployment pipelines for multiple concurrent requests. Client languages include Python, C++, HTML, Java, and C#.
Main Features
How to Use
Target Users
This product is suitable for enterprises or developers that require high-precision speech recognition and sentiment analysis, such as intelligent customer service, voice assistants, audio analysis tools, etc. Its efficient inference speed and multi-language support give it significant advantages in multi-lingual environments.
Examples
The intelligent customer service system uses SenseVoiceSmall for speech recognition and emotion analysis to improve customer service experience.
Audio analysis tools use SenseVoiceSmall to detect specific events in audio to classify and label content.
The voice assistant realizes multi-language speech recognition and emotional interaction through SenseVoiceSmall, enhancing user experience.
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