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20242026
most citedCovo-Audio Technical Report

1 citations · 1 across the 4 of their papers we have counts for

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8 papers · 1 filter

eess.AS2024

Structured Speaker-Deficiency Adaptation of Foundation Models for Dysarthric and Elderly Speech Recognition

Shujie Hu, Xurong Xie, Mengzhe Geng +8

Data-intensive fine-tuning of speech foundation models (SFMs) to scarce and diverse dysarthric and elderly speech leads to data bias and poor generalization to unseen speakers. Thi…

cs.CL2024

A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models

Dingdong Wang, Mingyu Cui, Dongchao Yang +2

With the rise of Speech Large Language Models (Speech LLMs), there has been growing interest in discrete speech tokens for their ability to integrate with text-based tokens seamles…

cs.AI2024

Improving Grapheme-to-Phoneme Conversion through In-Context Knowledge Retrieval with Large Language Models

Dongrui Han, Mingyu Cui, Jiawen Kang +3

Grapheme-to-phoneme (G2P) conversion is a crucial step in Text-to-Speech (TTS) systems, responsible for mapping grapheme to corresponding phonetic representations. However, it face…

cs.CL2024

Exploring SSL Discrete Tokens for Multilingual ASR

Mingyu Cui, Daxin Tan, Yifan Yang +5

With the advancement of Self-supervised Learning (SSL) in speech-related tasks, there has been growing interest in utilizing discrete tokens generated by SSL for automatic speech r…

cs.SD2024

Towards Effective and Efficient Non-autoregressive Decoding Using Block-based Attention Mask

Tianzi Wang, Xurong Xie, Zhaoqing Li +9

This paper proposes a novel non-autoregressive (NAR) block-based Attention Mask Decoder (AMD) that flexibly balances performance-efficiency trade-offs for Conformer ASR systems. AM…

cs.SD2024

Cross-Speaker Encoding Network for Multi-Talker Speech Recognition

Jiawen Kang, Lingwei Meng, Mingyu Cui +4

End-to-end multi-talker speech recognition has garnered great interest as an effective approach to directly transcribe overlapped speech from multiple speakers. Current methods typ…