activity
20232026
collaborators

8 papers

eess.AS2026

Stable Autoregressive Speech Generation with Low-Frame-Rate High-Dimensional Continuous Tokens

Yi Luo, Rongzhi Gu, Jixun Yao

Balancing sequence length, representational capacity, and long-horizon stability is a central problem in autoregressive (AR) speech and audio generation. Representations with highe…

cs.SD2025

Advances in Speech Separation: Techniques, Challenges, and Future Trends

Kai Li, Guo Chen, Wendi Sang +8

The field of speech separation, addressing the "cocktail party problem", has seen revolutionary advances with DNNs. Speech separation enhances clarity in complex acoustic environme…

cs.SD2025

WAKE: Watermarking Audio with Key Enrichment

Yaoxun Xu, Jianwei Yu, Hangting Chen +5

As deep learning advances in audio generation, challenges in audio security and copyright protection highlight the need for robust audio watermarking. Recent neural network-based m…

eess.AS2024

Gull: A Generative Multifunctional Audio Codec

Yi Luo, Jianwei Yu, Hangting Chen +2

We introduce Gull, a generative multifunctional audio codec. Gull is a general purpose neural audio compression and decompression model which can be applied to a wide range of task…

cs.SD2023

SECap: Speech Emotion Captioning with Large Language Model

Yaoxun Xu, Hangting Chen, Jianwei Yu +6

Speech emotions are crucial in human communication and are extensively used in fields like speech synthesis and natural language understanding. Most prior studies, such as speech e…

cs.SD2023

BANC: Towards Efficient Binaural Audio Neural Codec for Overlapping Speech

Anton Ratnarajah, Shi-Xiong Zhang, Dong Yu

We introduce BANC, a neural binaural audio codec designed for efficient speech compression in single and two-speaker scenarios while preserving the spatial location information of…

eess.AS2023

ReZero: Region-customizable Sound Extraction

Rongzhi Gu, Yi Luo

We introduce region-customizable sound extraction (ReZero), a general and flexible framework for the multi-channel region-wise sound extraction (R-SE) task. R-SE task aims at extra…

eess.AS2023

The Sound Demixing Challenge 2023 $\unicode{x2013}$ Cinematic Demixing Track

Stefan Uhlich, Giorgio Fabbro, Masato Hirano +14

This paper summarizes the cinematic demixing (CDX) track of the Sound Demixing Challenge 2023 (SDX'23). We provide a comprehensive summary of the challenge setup, detailing the str…