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Slyne Deng

3 papers hereh-index 226 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • eess.AS1

identity via Semantic Scholar / OpenAlex

most citedImproving Noise Robustness of an End-to-End Neural Model for Automatic Speech Recognition

6 citations · 6 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CL2026

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

Jagadeesh Balam, Travis Bartley, Edresson Casanova +46

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…

eess.AS2020★ 6 cited

Improving Noise Robustness of an End-to-End Neural Model for Automatic Speech Recognition

Jagadeesh Balam, Jocelyn Huang, Vitaly Lavrukhin +3

We present our experiments in training robust to noise an end-to-end automatic speech recognition (ASR) model using intensive data augmentation. We explore the efficacy of fine-tun…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.