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20092026
most citedGigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

216 citations · 556 across the 81 of their papers we have counts for

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Showing 2024Show all

11 papers · 1 filter

eess.AS2024

DiCoW: Diarization-Conditioned Whisper for Target Speaker Automatic Speech Recognition

Alexander Polok, Dominik Klement, Martin Kocour +7

Speaker-attributed automatic speech recognition (ASR) in multi-speaker environments remains a significant challenge, particularly when systems conditioned on speaker embeddings fai…

eess.AS2024

HLTCOE JHU Submission to the Voice Privacy Challenge 2024

Henry Li Xinyuan, Zexin Cai, Ashi Garg +5

We present a number of systems for the Voice Privacy Challenge, including voice conversion based systems such as the kNN-VC method and the WavLM voice Conversion method, and text-t…

cs.CR2024

Clean Label Attacks against SLU Systems

Henry Li Xinyuan, Sonal Joshi, Thomas Thebaud +3

Poisoning backdoor attacks involve an adversary manipulating the training data to induce certain behaviors in the victim model by inserting a trigger in the signal at inference tim…

eess.AS2024

Privacy versus Emotion Preservation Trade-offs in Emotion-Preserving Speaker Anonymization

Zexin Cai, Henry Li Xinyuan, Ashi Garg +5

Advances in speech technology now allow unprecedented access to personally identifiable information through speech. To protect such information, the differential privacy field has…

eess.AS2024

Target Speaker ASR with Whisper

Alexander Polok, Dominik Klement, Matthew Wiesner +3

We propose a novel approach to enable the use of large, single-speaker ASR models, such as Whisper, for target speaker ASR. The key claim of this method is that it is much easier t…

eess.AS2024

Less Peaky and More Accurate CTC Forced Alignment by Label Priors

Ruizhe Huang, Xiaohui Zhang, Zhaoheng Ni +9

Connectionist temporal classification (CTC) models are known to have peaky output distributions. Such behavior is not a problem for automatic speech recognition (ASR), but it can c…

eess.AS2024

Improving Neural Biasing for Contextual Speech Recognition by Early Context Injection and Text Perturbation

Ruizhe Huang, Mahsa Yarmohammadi, Sanjeev Khudanpur +1

Existing research suggests that automatic speech recognition (ASR) models can benefit from additional contexts (e.g., contact lists, user specified vocabulary). Rare words and name…

eess.AS2024

Multi-Channel Multi-Speaker ASR Using Target Speaker's Solo Segment

Yiwen Shao, Shi-Xiong Zhang, Yong Xu +4

In the field of multi-channel, multi-speaker Automatic Speech Recognition (ASR), the task of discerning and accurately transcribing a target speaker's speech within background nois…

eess.AS2024

Acoustic modeling for Overlapping Speech Recognition: JHU Chime-5 Challenge System

Vimal Manohar, Szu-Jui Chen, Zhiqi Wang +3

This paper summarizes our acoustic modeling efforts in the Johns Hopkins University speech recognition system for the CHiME-5 challenge to recognize highly-overlapped dinner party…

cs.CL2024

Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages

Nathaniel R. Robinson, Raj Dabre, Ammon Shurtz +14

A majority of language technologies are tailored for a small number of high-resource languages, while relatively many low-resource languages are neglected. One such group, Creole l…

eess.AS2024

On Speaker Attribution with SURT

Desh Raj, Matthew Wiesner, Matthew Maciejewski +3

The Streaming Unmixing and Recognition Transducer (SURT) has recently become a popular framework for continuous, streaming, multi-talker speech recognition (ASR). With advances in…