Emotional Speech Expression

via “emotion and prosody control in speech synthesis”

State-space model TTS with ultra-low latency for voice agents.

Unique: Implements emotion control through inline text tokens ('[excited]', '[sad]') rather than separate API parameters, allowing emotion changes mid-utterance without multiple API calls. This token-based approach integrates emotion control directly into the text input stream, enabling natural emotional transitions within continuous speech generation.

vs others: Provides more granular, mid-utterance emotion control than cloud TTS systems (Google Cloud, Azure) which typically apply emotion at the request level; token-based approach allows emotional expression to follow narrative flow without API call overhead.

via “voice emotion and expression control through style transfer”

AI voice generator and voice cloning for text to speech.

via “emotional speech synthesis”

via “emotion and expression control in speech”

via “emotional-expression-animation”

via “vocal emotion and expression control”

via “emotional tone and sentiment analysis”