activity
20172026
most citedESPnet: End-to-End Speech Processing Toolkit

74 citations · 104 across the 25 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

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…

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★ 1 cited

The CHiME-8 DASR Challenge for Generalizable and Array Agnostic Distant Automatic Speech Recognition and Diarization

Samuele Cornell, Taejin Park, Steve Huang +6

This paper presents the CHiME-8 DASR challenge which carries on from the previous edition CHiME-7 DASR (C7DASR) and the past CHiME-6 challenge. It focuses on joint multi-channel di…

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

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…