Sesame's Leap: Bridging the Uncanny Valley in Conversational Voice
2025-03-02
Sesame's research team has made significant strides in creating more natural and emotionally intelligent AI voice assistants. Their Conversational Speech Model (CSM) uses multimodal learning to generate contextually appropriate speech by considering context, emotion, and conversation history. This technology surpasses traditional text-to-speech (TTS) models and demonstrates improvements in naturalness and expressiveness through objective and subjective evaluations. However, the model currently primarily supports English, with future plans to expand to more languages and further enhance its understanding of complex conversational structures.