Paraformer-Large - An industrial-grade open-source Chinese Automatic Speech Recognition (ASR) model developed by Alibaba.

## Overview of Paraformer-Large Paraformer-Large is an open-source, industrial-grade Automatic Speech Recognition (ASR) model developed by Alibaba. It is designed for non-autoregressive end-to-end speech recognition, allowing parallel inference and making it highly efficient for GPU usage. The model is particularly optimized for Chinese speech recognition and is trained on a 60,000-hour Mandarin dataset. ## Key Features of Paraformer-Large The key features of Paraformer-Large include: 1. **Non-Autoregressive End-to-End Speech Recognition**: Enables parallel processing, improving efficiency for GPU usage. 2. **High Accuracy**: Matches the performance of autoregressive models on large datasets. 3. **High Efficiency**: Reduces machine costs by nearly 10 times for speech recognition cloud services. 4. **Parallel Inference Support**: Enhances speed and scalability, ideal for real-time applications. ## Primary Function of Paraformer-Large The primary function of Paraformer-Large is Chinese speech recognition, specifically transcribing spoken Chinese into text with high accuracy. It is suitable for applications such as voice assistants, transcription services, and other scenarios requiring reliable speech-to-text conversion. ## Efficiency of Paraformer-Large Paraformer-Large achieves high efficiency through its non-autoregressive design, which allows parallel inference. This approach significantly reduces machine costs by nearly 10 times for speech recognition cloud services, making it ideal for real-time and large-scale applications. ## Training Dataset of Paraformer-Large Paraformer-Large was trained on a 60,000-hour Mandarin dataset, ensuring robustness and accuracy for Chinese speech recognition tasks. ## Deployment of Paraformer-Large Paraformer-Large can be deployed in various applications requiring speech-to-text conversion, such as customer service chatbots, educational platforms, and media transcription services. It is accessible via Modelscope and can be integrated into existing systems or used standalone. ## Popularity of Paraformer-Large Paraformer-Large has been downloaded over 14.36 million times on Modelscope, indicating its widespread adoption and popularity among developers and researchers. This high download count reflects its practical utility in real-world scenarios. ## Technical Specifications of Paraformer-Large The technical specifications of Paraformer-Large include: - **Name**: speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch - **Type**: Non-autoregressive end-to-end speech recognition model - **Training Data**: 60,000-hour Mandarin dataset - **Accuracy**: Matches autoregressive models on large datasets - **Efficiency**: Reduces machine costs by nearly 10 times - **Inference**: Supports parallel processing, suitable for GPU usage - **Primary Function**: Chinese speech recognition, transcribes to text - **Download Count (Modelscope)**: Over 14.36 million ### Citation sources: - [Paraformer-Large](https://www.modelscope.cn/models/iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) - Official URL Updated: 2025-03-26