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| title: Sesame CSM | |
| emoji: 🌱 | |
| colorFrom: gray | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 5.20.0 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| short_description: Conversational speech generation | |
| ## CSM 1B | |
| **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). | |
| --- | |
| 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. | |
| 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). | |
| A hosted [HuggingFace space](https://huggingface.co/spaces/sesame/csm-1b) is also available for testing audio generation. | |
| ## Misuse and abuse ⚠️ | |
| 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: | |
| - **Impersonation or Fraud**: Do not use this model to generate speech that mimics real individuals without their explicit consent. | |
| - **Misinformation or Deception**: Do not use this model to create deceptive or misleading content, such as fake news or fraudulent calls. | |
| - **Illegal or Harmful Activities**: Do not use this model for any illegal, harmful, or malicious purposes. | |
| 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. | |
| **Prompts** | |
| Conversational prompts are from the [EdAcc dataset](https://groups.inf.ed.ac.uk/edacc/) | |
| Read speech prompts are form the [LibriTTS-R dataset](https://google.github.io/df-conformer/librittsr/) | |
| **Authors** | |
| Johan Schalkwyk, Ankit Kumar, Dan Lyth, Sefik Emre Eskimez, Zack Hodari, Cinjon Resnick, Ramon Sanabria, Raven Jiang, and the Sesame team. | |