4 papers · 1 filter
Entropy-Guided GRVQ for Ultra-Low Bitrate Neural Speech Codec
Yanzhou Ren, Noboru Harada, Daiki Takeuchi +6
Neural audio codec (NAC) is essential for reconstructing high-quality speech signals and generating discrete representations for downstream speech language models. However, ensurin…
Robust Online Overdetermined Independent Vector Analysis Based on Bilinear Decomposition
Kang Chen, Xianrui Wang, Yichen Yang +6
Online blind source separation is essential for both speech communication and human-machine interaction. Among existing approaches, overdetermined independent vector analysis (Over…
Unrestricted Global Phase Bias-Aware Single-channel Speech Enhancement with Conformer-based Metric GAN
Shiqi Zhang, Zheng Qiu, Daiki Takeuchi +2
With the rapid development of neural networks in recent years, the ability of various networks to enhance the magnitude spectrum of noisy speech in the single-channel speech enhanc…
A computationally efficient semi-blind source separation based approach for nonlinear echo cancellation based on an element-wise iterative source steering
Kunxing Lu, Xianrui Wang, Tetsuya Ueda +2
While the semi-blind source separation-based acoustic echo cancellation (SBSS-AEC) has received much research attention due to its promising performance during double-talk compared…