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20212026
most citedSpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing

30 citations · 41 across the 22 of their papers we have counts for

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cs.SD2026

What Did I Just Say? Self-Listening for Full-Duplex Speech Models

Xuanning Zhou, Junyi Ao, Xiaotong Liu +3

Full-duplex spoken language models can listen and speak simultaneously, enabling them to handle interruptions and backchannels in human conversation. However, text generation, spee…

cs.SD2026

Scaling Speech Tokenizers with Diffusion Autoencoders

Yuancheng Wang, Zhenyu Tang, Yun Wang +9

Speech tokenizers are foundational to speech language models, yet existing approaches face two major challenges: (1) balancing trade-offs between encoding semantics for understandi…

cs.SD2025

Overview of the Amphion Toolkit (v0.2)

Jiaqi Li, Xueyao Zhang, Yuancheng Wang +9

Amphion is an open-source toolkit for Audio, Music, and Speech Generation, designed to lower the entry barrier for junior researchers and engineers in these fields. It provides a v…

cs.SD2023

USED: Universal Speaker Extraction and Diarization

Junyi Ao, Mehmet Sinan Yıldırım, Ruijie Tao +4

Speaker extraction and diarization are two enabling techniques for real-world speech applications. Speaker extraction aims to extract a target speaker's voice from a speech mixture…

cs.SD2022

CoBERT: Self-Supervised Speech Representation Learning Through Code Representation Learning

Chutong Meng, Junyi Ao, Tom Ko +2

Speech is the surface form of a finite set of phonetic units, which can be represented by discrete codes. We propose the Code BERT (CoBERT) approach for self-supervised speech repr…

cs.SD2022

Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data

Junyi Ao, Ziqiang Zhang, Long Zhou +7

This paper studies a novel pre-training technique with unpaired speech data, Speech2C, for encoder-decoder based automatic speech recognition (ASR). Within a multi-task learning fr…