Qwen2-Audio

Large audio language model launched by Alibaba Cloud

PremiumNewProductOpenSourceAudio processingLanguage model

Qwen2-Audio is a large audio language model proposed by Alibaba Cloud, capable of processing various audio signals as input and performing audio analysis or direct text reply based on speech commands. The model supports two different audio interaction modes: voice chat and audio analysis. It has achieved outstanding performance in 13 standard benchmark tests, including automatic speech recognition, speech-to-text translation, and speech emotion recognition.

Supports free voice interaction without text input
Able to provide audio and text commands for audio analysis
Performs excellently on multiple standard benchmark tests
such as ASR
S2TT
SER
etc.
Two series of models coming soon: Qwen2-Audio and Qwen2-Audio-Chat
Architecture overview of the three-stage training process
Provide all assessment scripts to reproduce the result

\Qwen2-Audio is designed for researchers
developers
and enterprises with audio language processing needs. It is suitable for users who require efficient audio analysis and voice interaction solutions
and can be applied to scenarios such as smart assistants
automatic customer service

Researchers use Qwen2-Audio for academic research on speech recognition and emotional analysis
Developers utilize Qwen2-Audio to develop intelligent voice assistant applications
Enterprises integrate Qwen2-Audio into their customer service system to provide automated voice services

Visit the GitHub page of Qwen2-Audio to learn about the model's basic information and documents
Read the README.md file to get installation and usage guidelines for the model
Reproduce the model's performance using the assessment scripts in your local environment
Explore the model's two interaction modes: voice chat and audio analysis
Integrate the model into your projects

Visit

Qwen2-Audio Visit Over Time

Monthly Visits

515580771

Bounce Rate

37.20%

Page per Visit

5.8

Visit Duration

00:06:42

Qwen2-Audio Visit Trend

Qwen2-Audio Visit Geography

Qwen2-Audio Traffic Sources

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Qwen2-Audio

Qwen2-Audio Visit Over Time

Qwen2-Audio Visit Trend

Qwen2-Audio Visit Geography

Qwen2-Audio Traffic Sources

Qwen2-Audio Alternatives

OuteTTS-0.1-350M — A text-to-speech synthesis model that operates through a pure language model.

Lingma SWE-GPT — An open-source large language model specifically designed for software improvement.

MobileLLM-1B — A sub-billion parameter language model developed by Meta, suitable for device-side applications.

MobileLLM-600M — An efficient and optimized 600M parameter language model designed for device applications.

MobileLLM-350M — An efficiently optimized language model with sub-billion parameters, specifically designed for device-side applications.

MobileLLM-125M — An efficient, optimized small language model designed for device-side applications.

hertz-dev — An open-source full-duplex audio generation foundational model.

Fish Agent V0.1 3B — High-precision speech-to-speech model for capturing and generating environmental audio information.

MobileLLM — Optimized small language model suitable for mobile devices

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Universal-2 — Next-generation speech AI offering superior audio data processing capabilities.

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Zamba2-mini — A cutting-edge small language model designed for edge applications.