Voice agents built as cascaded automatic speech recognition (ASR)->large language model (LLM)->text-to-speech (TTS) pipelines increasingly rely on conversational TTS: streaming, context conditioned models that adapt delivery to dialogue history. Such models are natural and expressive but offer little explicit control o...
Yashish M. Siriwardena, Dinesh K. Gnanasekaran, Tanmay Laud et al.· 0 citations
Long-form audio analysis requires systems to localize and integrate evidence distributed across extended recordings. While existing work primarily retrieves semantic content through structured textual representations, many real-world queries depend on acoustic evidence that is better preserved in continuous representat...
Chin-Jou Li, Masao Someki, Woojeong Jin et al.· 0 citations
Multiparty Bench is introduced, the first benchmark specifically designed to objectively evaluate conversational speech systems as active participants within multi-party contexts and assesses agent behavior along two primary dimensions: turn-taking awareness and response appropriateness.
Yi-Jen Shih, Shih-Yun-Shan Kuan, Guan-Ting Lin et al.· 2 citations· ⚡1
TurnBench, a multi-domain benchmark that pairs a 30-hour, hand-labeled corpus of dyadic human conversation with a standardized evaluation protocol for end-of-turn and interruption detection, finds end-of-turn recall stable across types, while interruption false positives are strongly type-dependent and concentrated in...
Freeman Jiang, Ramon Sanabria, Soham Deshmukh et al.· 9 citations· ⚡4
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