💬 chat

SpeechGPT 2.0-preview

The first human-level real-time interaction system for contextual intelligence, supporting multi-emotion and multi-style voice interaction.

#Artificial Intelligence
#natural language processing
#Open source
#Voice interaction
#low latency
#Multiple styles
SpeechGPT 2.0-preview

Product Details

SpeechGPT 2.0-preview is an advanced speech interaction model developed by the Natural Language Processing Laboratory of Fudan University. It achieves low-latency, high-naturalness voice interaction capabilities through massive voice data training. The model is capable of simulating speech expressions of a variety of emotions, styles, and roles, while supporting functions such as tool invocation, online search, and access to external knowledge bases. Its main advantages include strong voice style generalization capabilities, multi-role simulation, and low-latency interactive experience. Currently, the model only supports Chinese voice interaction, and plans to expand to more languages ​​in the future.

Main Features

1
Supports multi-emotion, multi-style, and multi-tonal voice interaction, and can be switched intelligently.
2
Possess strong role-playing capabilities and can simulate the voice and emotional states of different characters.
3
Support tool invocation, online search and external knowledge base access to improve interactive intelligence.
4
Low-latency interaction, with latency below 200 milliseconds, provides a smooth real-time experience.
5
Supports multiple voice talents such as poetry recitation, storytelling, and dialect dialogue.
6
Through semantic-acoustic joint modeling, ultra-low bitrate streaming speech encoding and decoding is achieved.
7
Adopts a hybrid speech-text modeling architecture to balance speech and text processing capabilities.
8
Provides open source inference code, model weights and method introductions for developers to use.

How to Use

1
Visit [Demo page](https://sp2.open-moss.com/) to experience the voice interaction function.
2
Check out the open source code and model weights on GitHub for technical details.
3
Choose the appropriate voice interaction mode according to your needs, such as multi-emotion, multi-style, etc.
4
Interact with models in real-time via voice input and experience low-latency responses.
5
Take advantage of the model's tool calling and search capabilities for richer interactive content.
6
Based on actual application scenarios, secondary development or integration is carried out based on model capabilities.

Target Users

This product is suitable for scenarios that require highly natural voice interaction, such as intelligent customer service, voice assistants, educational software, etc. It can provide users with a more vivid and natural voice interaction experience, improving user satisfaction and interaction efficiency.

Examples

In intelligent customer service, user questions can be answered quickly through voice interaction and service efficiency can be improved.

In educational software, different roles are simulated for language learning to make learning more interesting.

As a voice assistant, it responds to user instructions in real time and provides information query services such as weather and news.

Quick Access

Visit Website →

Categories

💬 chat
› chatbot
› speech to text

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