3 citations · 11 across the 7 of their papers we have counts for
8 papers
Hybrid HMM Decoder For Convolutional Codes By Joint Trellis-Like Structure and Channel Prior
Haoyu Li, Xuan Wang, Tong Liu +2
The anti-interference capability of wireless links is a physical layer problem for edge computing. Although convolutional codes have inherent error correction potential due to the…
Joint Noise Reduction and Listening Enhancement for Full-End Speech Enhancement
Haoyu Li, Yun Liu, Junichi Yamagishi
Speech enhancement (SE) methods mainly focus on recovering clean speech from noisy input. In real-world speech communication, however, noises often exist in not only speaker but al…
Multi-Metric Optimization using Generative Adversarial Networks for Near-End Speech Intelligibility Enhancement
Haoyu Li, Junichi Yamagishi
The intelligibility of speech severely degrades in the presence of environmental noise and reverberation. In this paper, we propose a novel deep learning based system for modifying…
Enhancing Low-Quality Voice Recordings Using Disentangled Channel Factor and Neural Waveform Model
Haoyu Li, Yang Ai, Junichi Yamagishi
High-quality speech corpora are essential foundations for most speech applications. However, such speech data are expensive and limited since they are collected in professional rec…
Denoising-and-Dereverberation Hierarchical Neural Vocoder for Robust Waveform Generation
Yang Ai, Haoyu Li, Xin Wang +2
This paper presents a denoising and dereverberation hierarchical neural vocoder (DNR-HiNet) to convert noisy and reverberant acoustic features into a clean speech waveform. We impl…
Improved Prosody from Learned F0 Codebook Representations for VQ-VAE Speech Waveform Reconstruction
Yi Zhao, Haoyu Li, Cheng-I Lai +3
Vector Quantized Variational AutoEncoders (VQ-VAE) are a powerful representation learning framework that can discover discrete groups of features from a speech signal without super…