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20212026
most citedModel Adaptation for ASR in low-resource Indian Languages

5 citations · 6 across the 11 of their papers we have counts for

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5 papers · 1 filter

eess.AS2026

RePlay: Retrieval-Based Voice Playback for Multi-Turn spoken dialogue

Sathvik Udupa, Naveen Kumar, Ryan Folmsbee

Many voice interaction applications require exact control over both the content and delivery of responses, typically using pre-recorded lines. Recent full-duplex models respond wit…

eess.AS2026

TurnBench: A Multi-Domain Benchmark for Turn-Taking Dynamics in Spoken Dialogue

Freeman Jiang, Ramon Sanabria, Soham Deshmukh +16

Speakers in natural conversation take turns speaking and listening, deciding in real time when to take, hold, or yield the floor. However, turn-taking evaluation remains limited du…

eess.AS2026

Grounding Spoken LLMs in Multi-Speaker Audio via Diarization Conditioning

Alexander Polok, Samuele Cornell, Sathvik Udupa +3

We propose diarization-conditioned spoken language models (SLMs), a strategy for extending SLMs to far-field multi-talker audio. Rather than adapting the decoder via Serialized Out…

eess.AS2026

Endpoint Anticipation for Low-Latency Spoken Dialogue

Sathvik Udupa, Shinji Watanabe, Petr Schwarz +1

While low-latency interaction is critical for spoken dialogue, cascaded architectures are often bottlenecked by reactive turn-completion detection. We propose Endpoint Anticipation…

eess.AS2026

VAANI: Capturing the language landscape for an inclusive digital India

Sujith Pulikodan, Abhayjeet Singh, Agneedh Basu +17

Voice based technologies have the potential to bridge digital accessibility gaps; however, existing datasets fail to capture the linguistic and regional diversity of Indic language…