📁 Open source

Qwen2-Audio

Large-scale audio language model launched by Alibaba Cloud

#language model
#audio processing
#Alibaba Cloud
Qwen2-Audio

Product Details

Qwen2-Audio is a large-scale audio language model proposed by Alibaba Cloud. It can accept various audio signal inputs and perform audio analysis or direct text replies based on voice commands. The model supports two different audio interaction modes: voice chat and audio analysis. It performs well on 13 standard benchmarks, including automatic speech recognition, speech-to-text translation, speech emotion recognition, and more.

Main Features

1
Supports free voice interaction without text input
2
Ability to provide audio and text commands for audio analysis
3
Excellent performance in multiple standard benchmark tests, such as ASR, S2TT, SER, etc.
4
Two model series are about to be released: Qwen2-Audio and Qwen2-Audio-Chat
5
Architectural overview of the three-stage training process
6
All evaluation scripts are provided to reproduce results

How to Use

1
Visit Qwen2-Audio’s GitHub page for basic information and documentation on the model
2
Read the README.md file to get the installation and usage guide of the model
3
Reproduce the model's performance in your local environment based on the evaluation script
4
Explore the model's two interaction modes: voice chat and audio analysis
5
Integrate the model into your own project, customize and optimize as needed

Target Users

The target audience of Qwen2-Audio includes researchers, developers and companies with needs for audio language processing. It is suitable for users who need efficient audio analysis and voice interaction solutions, and can be applied to scenarios such as smart assistants, automated customer service, and voice translation.

Examples

Researchers use Qwen2-Audio for academic research on speech recognition and sentiment analysis

Developers use Qwen2-Audio to develop smart voice assistant applications

Enterprises integrate Qwen2-Audio into customer service systems to provide automated voice services

Quick Access

Visit Website →

Categories

📁 Open source
› AI voice assistant
› AI speech recognition

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