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--- |
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title: Sesame CSM |
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emoji: 🌱 |
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colorFrom: gray |
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colorTo: green |
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sdk: gradio |
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sdk_version: 5.20.0 |
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app_file: app.py |
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pinned: false |
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license: apache-2.0 |
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short_description: Conversational speech generation |
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--- |
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## CSM 1B |
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**2025/03/13** - We are releasing the 1B CSM variant. Code is available on GitHub: [SesameAILabs/csm](https://github.com/SesameAILabs/csm). Checkpoint is [hosted on HuggingFace](https://huggingface.co/sesame/csm-1b). |
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--- |
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CSM (Conversational Speech Model) is a speech generation model from [Sesame](sesame.com) that generates RVQ audio codes from text and audio inputs. The model architecture employs a [Llama](https://www.llama.com/) backbone and a smaller audio decoder that produces [Mimi](https://huggingface.co/kyutai/mimi) audio codes. |
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A fine-tuned variant of CSM powers the [interactive voice demo](https://www.sesame.com/voicedemo) shown in our [blog post](https://www.sesame.com/research/crossing_the_uncanny_valley_of_voice). |
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A hosted [HuggingFace space](https://huggingface.co/spaces/sesame/csm-1b) is also available for testing audio generation. |
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## Misuse and abuse ⚠️ |
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This project provides a high-quality speech generation model for research and educational purposes. While we encourage responsible and ethical use, we **explicitly prohibit** the following: |
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- **Impersonation or Fraud**: Do not use this model to generate speech that mimics real individuals without their explicit consent. |
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- **Misinformation or Deception**: Do not use this model to create deceptive or misleading content, such as fake news or fraudulent calls. |
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- **Illegal or Harmful Activities**: Do not use this model for any illegal, harmful, or malicious purposes. |
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By using this model, you agree to comply with all applicable laws and ethical guidelines. We are **not responsible** for any misuse, and we strongly condemn unethical applications of this technology. |
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**Prompts** |
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Conversational prompts are from the [EdAcc dataset](https://groups.inf.ed.ac.uk/edacc/) |
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Read speech prompts are form the [LibriTTS-R dataset](https://google.github.io/df-conformer/librittsr/) |
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**Authors** |
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Johan Schalkwyk, Ankit Kumar, Dan Lyth, Sefik Emre Eskimez, Zack Hodari, Cinjon Resnick, Ramon Sanabria, Raven Jiang, and the Sesame team. |
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