activity
20192026
most citedComparative layer-wise analysis of self-supervised speech models

2 citations · 9 across the 16 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.CL2026

Full-duplex Spoken Language Modeling with Discrete Diffusion

Chen Chen, Pin-Jui Ku, Ankita Pasad +3

We introduce Diffuplex, a full-duplex spoken language model based on discrete diffusion that achieves an unprecedented balance between linguistic intelligence and response efficien…

cs.CL2026

NemotronLabs VoiceChat: An Open Full-duplex Speech-to-Speech Model with Tool Calling Capabilities

Jagadeesh Balam, Travis Bartley, Edresson Casanova +52

We introduce NemotronLabs VoiceChat, an open full-duplex speech-to-speech model with native tool-calling capabilities. NemotronLabs VoiceChat combines a streaming speech encoder an…

cs.CL2026

Enabling Streaming User Transcription in Full-Duplex Speech-to-Speech Models

Ke Hu, Nourchene Ferchichi, Edresson Casanova +9

Full-duplex speech-to-speech (S2S) models enable natural conversational AI by allowing simultaneous listening and speaking. However, these models typically lack inherent user speec…

eess.AS2026

VoiceChat-TTS: A Low-Latency Continuous Speech Synthesis Model for Interactive Agents

Edresson Casanova, Jaehyeon Kim, Mariana Graterol Fuenmayor +17

Spoken dialogue is a natural form of human--computer interaction, yet most speech language models remain limited to turn-based operation and lack real-time adaptability, such as us…

cs.SD2026

Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni Perception

Zhen Wan, Chao-Han Huck Yang, Jinchuan Tian +15

We introduce a voice-agentic framework that learns one critical omni-understanding skill: knowing when to trust itself versus when to consult external audio perception. Our work is…