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CSM 1B

CSM 1B is a text-to-speech generation model developed by Sesame that produces high-quality audio.

#speech synthesis
#Open source model
#text to speech
#People who talk a lot
CSM 1B

Product Details

CSM 1B is a speech generation model based on the Llama architecture, capable of generating RVQ audio codes from text and audio input. This model is mainly used in the field of speech synthesis and has high-quality speech generation capabilities. Its advantage lies in its ability to handle multi-speaker dialogue scenarios and generate natural and smooth speech through contextual information. The model is open source and intended to support research and educational purposes, but use for impersonation, fraud, or illegal activities is expressly prohibited.

Main Features

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Supports high-quality speech generation from text
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Can handle multi-speaker conversation scenarios
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Generate more natural speech through contextual information
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Open source model for easy use in research and education
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Supports multiple languages ​​(but may not perform well in non-English languages)

How to Use

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1. Clone the model repository: `git clone [email protected]:SesameAILabs/csm.git`
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2. Set up a virtual environment and install dependencies: `python3.10 -m venv .venv` and `pip install -r requirements.txt`
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3. Download the model file: `hf_hub_download(repo_id="sesame/csm-1b", filename="ckpt.pt")`
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4. Load the model and generate speech: call the `load_csm_1b` and `generate` methods to generate audio
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5. Save the generated audio: Use `torchaudio.save` to save the audio file

Target Users

This model is suitable for researchers, developers, and educators who require high-quality speech synthesis. It can provide technical support for speech interaction applications, speech synthesis research, and educational scenarios.

Examples

Generating natural speech for virtual assistants in voice interaction applications

Used for speech synthesis research to explore high-quality speech generation technology

Generating speech examples for language learning in educational scenarios

Quick Access

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