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20172026
most citedVQTTS: High-Fidelity Text-to-Speech Synthesis with Self-Supervised VQ Acoustic Feature

43 citations · 184 across the 165 of their papers we have counts for

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Showing 2024 · cs.CLShow all

6 papers · 2 filters

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.CL2024

Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning

Yexing Du, Youcheng Pan, Ziyang Ma +7

Multimodal Large Language Models (MLLMs) have achieved significant success in Speech-to-Text Translation (S2TT) tasks. While most existing research has focused on English-centric t…

cs.CL2024

Exploring SSL Discrete Speech Features for Zipformer-based Contextual ASR

Mingyu Cui, Yifan Yang, Jiajun Deng +7

Self-supervised learning (SSL) based discrete speech representations are highly compact and domain adaptable. In this paper, SSL discrete speech features extracted from WavLM model…

cs.CL2024

Language Model Can Listen While Speaking

Ziyang Ma, Yakun Song, Chenpeng Du +5

Dialogue serves as the most natural manner of human-computer interaction (HCI). Recent advancements in speech language models (SLM) have significantly enhanced speech-based convers…

cs.CL2024★ 4 cited

An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Ziyang Ma, Guanrou Yang, Yifan Yang +8

In this paper, we focus on solving one of the most important tasks in the field of speech processing, i.e., automatic speech recognition (ASR), with speech foundation encoders and…

cs.CL2024★ 2 cited

ELLA-V: Stable Neural Codec Language Modeling with Alignment-guided Sequence Reordering

Yakun Song, Zhuo Chen, Xiaofei Wang +2

The language model (LM) approach based on acoustic and linguistic prompts, such as VALL-E, has achieved remarkable progress in the field of zero-shot audio generation. However, exi…