activity
20192026
most citedCN-CELEB: a challenging Chinese speaker recognition dataset

13 citations · 14 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2026

DeltaFlow: Noise-Adaptive Bidirectional Gated Delta Networks for Embedded Language Flows

Guangfu Guo, Xiaoqian Lu, Linsey Pang +4

Embedded Language Flows (ELF) rely primarily on full non-causal attention for iterative denoising, repeatedly incurring quadratic sequence-mixing cost at each sampling step. Gated…

eess.AS2026

Improving Audio Question Answering with Variational Inference

Haolin Chen

Variational inference (VI) provides a principled framework for estimating posterior distributions over model parameters, enabling explicit modeling of weight uncertainty during opt…

cs.LG2024

A Bayesian Interpretation of Adaptive Low-Rank Adaptation

Haolin Chen, Philip N. Garner

Motivated by the sensitivity-based importance score of the adaptive low-rank adaptation (AdaLoRA), we utilize more theoretically supported metrics, including the signal-to-noise ra…

eess.AS2024★ 1 cited

Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting

Haolin Chen, Philip N. Garner

We are motivated primarily by the adaptation of text-to-speech synthesis models; however we argue that more generic parameter-efficient fine-tuning (PEFT) is an appropriate framewo…

cs.CV2023

Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes

Pavel Korshunov, Haolin Chen, Philip N. Garner +1

The task of deepfakes detection is far from being solved by speech or vision researchers. Several publicly available databases of fake synthetic video and speech were built to aid…

eess.AS2023

An investigation into the adaptability of a diffusion-based TTS model

Haolin Chen, Philip N. Garner

Given the recent success of diffusion in producing natural-sounding synthetic speech, we investigate how diffusion can be used in speaker adaptive TTS. Taking cues from more tradit…

cs.SD2020

Can We Trust Deep Speech Prior?

Ying Shi, Haolin Chen, Zhiyuan Tang +3

Recently, speech enhancement (SE) based on deep speech prior has attracted much attention, such as the variational auto-encoder with non-negative matrix factorization (VAE-NMF) arc…

eess.AS2019★ 13 cited

CN-CELEB: a challenging Chinese speaker recognition dataset

Yue Fan, Jiawen Kang, Lantian Li +7

Recently, researchers set an ambitious goal of conducting speaker recognition in unconstrained conditions where the variations on ambient, channel and emotion could be arbitrary. H…