activity
20182023
most citedHiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec

20 citations · 129 across the 28 of their papers we have counts for

collaborators
Showing cs.SDShow all

12 papers · 1 filter

cs.SD202320 cited

HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec

Dongchao Yang, Songxiang Liu, Rongjie Huang +3

Audio codec models are widely used in audio communication as a crucial technique for compressing audio into discrete representations. Nowadays, audio codec models are increasingly…

cs.SD2023

Diverse and Expressive Speech Prosody Prediction with Denoising Diffusion Probabilistic Model

Xiang Li, Songxiang Liu, Max W. Y. Lam +3

Expressive human speech generally abounds with rich and flexible speech prosody variations. The speech prosody predictors in existing expressive speech synthesis methods mostly pro…

cs.SD20221 cited

NoreSpeech: Knowledge Distillation based Conditional Diffusion Model for Noise-robust Expressive TTS

Dongchao Yang, Songxiang Liu, Jianwei Yu +3

Expressive text-to-speech (TTS) can synthesize a new speaking style by imiating prosody and timbre from a reference audio, which faces the following challenges: (1) The highly dyna…

cs.SD20226 cited

The DKU-Tencent System for the VoxCeleb Speaker Recognition Challenge 2022

Xiaoyi Qin, Na Li, Yuke Lin +4

This paper is the system description of the DKU-Tencent System for the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC22). In this challenge, we focus on track1 and track3. For…

cs.SD2022

Improving Target Sound Extraction with Timestamp Information

Helin Wang, Dongchao Yang, Chao Weng +2

Target sound extraction (TSE) aims to extract the sound part of a target sound event class from a mixture audio with multiple sound events. The previous works mainly focus on the p…

cs.SD20213 cited

Simple Attention Module based Speaker Verification with Iterative noisy label detection

Xiaoyi Qin, Na Li, Chao Weng +2

Recently, the attention mechanism such as squeeze-and-excitation module (SE) and convolutional block attention module (CBAM) has achieved great success in deep learning-based speak…