论文

期刊与会议论文

Year

Type

Venues

324 papers

arXiv 2026Journal

DeepASMR: LLM-Based Zero-Shot ASMR Speech Generation for Anyone of Any Voice

Leying Zhang, Tingxiao Zhou, Haiyang Sun, Mengxiao Bi, Yanmin Qian

Paper

T-ASLP 2026Journal

Memory-Efficient Training for Deep Speaker Embedding Learning in Speaker Verification

Bei Liu, Yanmin Qian

Paper

CSL 2026Journal

An End-to-end Integration of Speech Separation and Recognition with Self- Supervised Learning Representation

Yoshiki Masuyama, Xuankai Chang, Wangyou Zhang, Samuele Cornell, Zhong-Qiu Wang, Nobutaka Ono, Yanmin Qian, Shinji Watanabe

Paper

INTERSPEECH 2026Conference

Zero-Shot Streaming Text to Speech Synthesis with Transducer and Auto- Regressive Modeling

Haiyang Sun, Shujie Hu, Shujie Liu, Lingwei Meng, Hui Wang, Bing Han, Yifan Yang, Yanqing Liu, Sheng Zhao, Yan Lu, Yanmin Qian

Paper

INTERSPEECH 2026Conference

ContextSpeech: A Large-Scale Real-Human Speech Corpus with Context-Aware Descriptions

Haiyang Sun, Bing Han, Zheng Lian, Leying zhang, Chenda Li, Chenyang Le, Ye Bai, Yi Zhao, Yanmin Qian

INTERSPEECH 2026Conference

Datasets and Learnings in the 2024 URGENT Speech Enhancement Challenge

Wangyou Zhang, Kohei Saijo, Samuele Cornell, Robin Scheibler, Chenda Li, Zhaoheng Ni, Anurag Kumar, Marvin Sach, Wei Wang, Yihui Fu, Xiaohuai Le, Zhihang Sun, Xiaobin Rong, Rong Chao, Shinji Watanabe, Tim Fingscheidt, Yanmin Qian

INTERSPEECH 2026Conference

Efficient Online Diffusion-based Models for Speech Enhancement

Jiahe Wang, Lei Yang, Chenda Li, Siyi Zhao, Wei Wang, Lufen Tan, Xie Chen, Yanmin Qian

INTERSPEECH 2026Conference

TF-MOE: Time-Frequencey Mixture-of-Experts for Efficient Speech Enhancement and Separation

Chenda Li, Qinzhe Hu, Shujie Liu, Yan Lu, Yanmin Qian

论文

DeepASMR: LLM-Based Zero-Shot ASMR Speech Generation for Anyone of Any Voice

Memory-Efficient Training for Deep Speaker Embedding Learning in Speaker Verification

An End-to-end Integration of Speech Separation and Recognition with Self- Supervised Learning Representation

Zero-Shot Streaming Text to Speech Synthesis with Transducer and Auto- Regressive Modeling

ContextSpeech: A Large-Scale Real-Human Speech Corpus with Context-Aware Descriptions

Datasets and Learnings in the 2024 URGENT Speech Enhancement Challenge

Efficient Online Diffusion-based Models for Speech Enhancement

TF-MOE: Time-Frequencey Mixture-of-Experts for Efficient Speech Enhancement and Separation

Edit

DeepASMR: LLM-Based Zero-Shot ASMR Speech Generation for Anyone of Any Voice

Memory-Efficient Training for Deep Speaker Embedding Learning in Speaker Verification

An End-to-end Integration of Speech Separation and Recognition with Self- Supervised Learning Representation

Zero-Shot Streaming Text to Speech Synthesis with Transducer and Auto- Regressive Modeling

ContextSpeech: A Large-Scale Real-Human Speech Corpus with Context-Aware Descriptions

Datasets and Learnings in the 2024 URGENT Speech Enhancement Challenge

Efficient Online Diffusion-based Models for Speech Enhancement

TF-MOE: Time-Frequencey Mixture-of-Experts for Efficient Speech Enhancement and Separation