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Sesame

Sesame

Conversational speech model that achieves voice presence

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207 Upvotes

About

The page presents research by Sesame AI on conversational AI, focusing on their CSM (Conversational Speech Model) and its evaluation using the Expresso dataset. It details two CMOS studies: one without context to assess naturalness (where generated and human speech were indistinguishable), and one with 90 seconds of audio and text context to assess appropriateness (where human speech was consistently favored, indicating a gap in prosody). The article announces the open-sourcing of their work under an Apache 2.0 license, discusses current limitations (English-centric, no pre-trained LM utilization), and outlines future plans including scaling, multilingual expansion, and development of fully duplex multimodal models. It concludes with a call for recruitment.


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Design Review

Based on the provided text content, the design appears to be clean, professional, and highly functional for presenting research. The clear use of headings (e.g., '### Open-sourcing our work') and structured paragraphs enhances readability and information hierarchy. The inclusion of descriptive text for an image and detailed explanations of evaluation methodologies contribute to the page's informative nature. The presence of distinct links for GitHub, open roles, and other company pages suggests good navigation and usability. The implied light theme with dark text and blue links is a standard, accessible choice for academic or research content, prioritizing clarity and focus on the information itself. While specific visual elements like font styles or exact color palettes cannot be assessed without rendering, the textual structure indicates a well-organized and user-friendly layout for a research publication.

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