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20222026
most citedASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion

4 citations · 10 across the 15 of their papers we have counts for

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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

A frontend-backend architecture for tool calls in full-duplex speech models

Ke Hu, Slyne Deng, Chen Chen +10

Full-duplex speech-to-speech (S2S) models provide natural, low-latency conversational interaction and would benefit from the ability to use external tools and complete voice-agent…

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.CL2026

Tagarela - A Portuguese speech dataset from podcasts

Frederico Santos de Oliveira, Lucas Rafael Stefanel Gris, Alef Iury Siqueira Ferreira +8

Despite significant advances in speech processing, Portuguese remains under-resourced due to the scarcity of public, large-scale, and high-quality datasets. To address this gap, we…