--- title: MOSS-Speech Demo sdk: gradio sdk_version: 5.47.2 app_file: app.py python_version: '3.12' pinned: true short_description: True Speech-to-Speech Language Model --- # MOSS-Speech: Towards True Speech-to-Speech Models Without Text Guidance
ι θ―»[δΈζ](./README_ZH.md)ηζ¬. --- ## π Introduction Spoken dialogue systems often rely on cascaded pipelines that transcribe, process, and resynthesize speech, which limits expressivity and discards paralinguistic cues. **MOSS-Speech** directly understands and generates speech without relying on text intermediates, enabling end-to-end speech interaction while preserving tone, prosody, and emotion. Our approach combines a **modality-based layer-splitting architecture** with a **frozen pre-training strategy**, leveraging pretrained text LLMs while extending native speech capabilities. Experiments show state-of-the-art results in spoken question answering and competitive speech-to-speech performance compared to text-guided systems. Welcome to check out the system's [demonstration video](https://moss-speech.open-moss.com/). --- ## π Key Features - **True Speech-to-Speech Modeling**: No text guidance required. - **Layer-Splitting Architecture**: Integrates modality-specific layers on top of pretrained text LLM backbones. - **Frozen Pre-Training Strategy**: Preserves LLM reasoning while enhancing speech understanding and generation. - **State-of-the-Art Performance**: Excels in spoken question answering and speech-to-speech tasks. - **Expressive & Efficient**: Maintains paralinguistic cues often lost in cascaded pipelines, such as tone, emotion, and prosody. --- ## π Repository Contents - `gradio_demo.py` β Gradio-based web demo script for quickly experiencing speech-to-speech functionality. - `generation.py` β Core generation script for producing output speech from input speech, suitable for inference and batch processing. --- ## π οΈ Installation ```bash # Clone the repository git clone https://github.com/OpenMOSS/MOSS-Speech cd MOSS-Speech # Install dependencies pip install -r requirements.txt ``` --- ## π Usage Launch the web demo ```sh python3 gradio_demo.py ```