activity
20192026
most citedUnsupervised pre-training for sequence to sequence speech recognition

20 citations · 39 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2026

Qwen-Audio-3.0-ASR Technical Report

Chuanmeng Bian, Daren Chen, Peixin Chen +42

In recent years, automatic speech recognition (ASR) has witnessed transformative advancements driven by three complementary paradigms: data scaling, model scaling, and deep integra…

cs.SD2024

SA-SOT: Speaker-Aware Serialized Output Training for Multi-Talker ASR

Zhiyun Fan, Linhao Dong, Jun Zhang +2

Multi-talker automatic speech recognition plays a crucial role in scenarios involving multi-party interactions, such as meetings and conversations. Due to its inherent complexity,…

cs.SD2023★ 2 cited

Language-specific Acoustic Boundary Learning for Mandarin-English Code-switching Speech Recognition

Zhiyun Fan, Linhao Dong, Chen Shen +4

Code-switching speech recognition (CSSR) transcribes speech that switches between multiple languages or dialects within a single sentence. The main challenge in this task is that d…

cs.SD2022

Token-level Speaker Change Detection Using Speaker Difference and Speech Content via Continuous Integrate-and-fire

Zhiyun Fan, Zhenlin Liang, Linhao Dong +6

In multi-talker scenarios such as meetings and conversations, speech processing systems are usually required to segment the audio and then transcribe each segmentation. These two s…

cs.SD2022★ 3 cited

Sequence-level Speaker Change Detection with Difference-based Continuous Integrate-and-fire

Zhiyun Fan, Linhao Dong, Meng Cai +2

Speaker change detection is an important task in multi-party interactions such as meetings and conversations. In this paper, we address the speaker change detection task from the p…

cs.SD2021★ 14 cited

Exploring wav2vec 2.0 on speaker verification and language identification

Zhiyun Fan, Meng Li, Shiyu Zhou +1

Wav2vec 2.0 is a recently proposed self-supervised framework for speech representation learning. It follows a two-stage training process of pre-training and fine-tuning, and perfor…