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20112026
most citedAUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

195 citations · 509 across the 74 of their papers we have counts for

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Showing 2024Show all

10 papers · 1 filter

eess.IV2024

R2I-rPPG: A Robust Region of Interest Selection Method for Remote Photoplethysmography to Extract Heart Rate

Sandeep Nagar, Mark Hasegawa-Johnson, David G. Beiser +1

The COVID-19 pandemic has underscored the need for low-cost, scalable approaches to measuring contactless vital signs, either during initial triage at a healthcare facility or virt…

cs.CL2024

Just ASR + LLM? A Study on Speech Large Language Models' Ability to Identify and Understand Speaker in Spoken Dialogue

Junkai Wu, Xulin Fan, Bo-Ru Lu +4

In recent years, we have observed a rapid advancement in speech language models (SpeechLLMs), catching up with humans' listening and reasoning abilities. SpeechLLMs have demonstrat…

eess.AS2024★ 15 cited

Fine-Tuning Automatic Speech Recognition for People with Parkinson's: An Effective Strategy for Enhancing Speech Technology Accessibility

Xiuwen Zheng, Bornali Phukon, Mark Hasegawa-Johnson

This paper enhances dysarthric and dysphonic speech recognition by fine-tuning pretrained automatic speech recognition (ASR) models on the 2023-10-05 data package of the Speech Acc…

cs.CL2024

LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech Recognition

Eunseop Yoon, Hee Suk Yoon, John Harvill +2

Test-Time Adaptation (TTA) has emerged as a crucial solution to the domain shift challenge, wherein the target environment diverges from the original training environment. A prime…

cs.CL2024

TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback

Eunseop Yoon, Hee Suk Yoon, SooHwan Eom +7

Reinforcement Learning from Human Feedback (RLHF) leverages human preference data to train language models to align more closely with human essence. These human preference data, ho…

cs.SD2024

Sound Tagging in Infant-centric Home Soundscapes

Mohammad Nur Hossain Khan, Jialu Li, Nancy L. McElwain +2

Certain environmental noises have been associated with negative developmental outcomes for infants and young children. Though classifying or tagging sound events in a domestic envi…