activity
20152021
most citedTSTNN: Two-stage Transformer based Neural Network for Speech Enhancement in the Time Domain

11 citations · 13 across the 5 of their papers we have counts for

collaborators

11 papers

eess.AS202111 cited

TSTNN: Two-stage Transformer based Neural Network for Speech Enhancement in the Time Domain

Kai Wang, Bengbeng He, Wei-Ping Zhu

In this paper, we propose a transformer-based architecture, called two-stage transformer neural network (TSTNN) for end-to-end speech denoising in the time domain. The proposed mod…

eess.AS20202 cited

On the Use of Audio Fingerprinting Features for Speech Enhancement with Generative Adversarial Network

Farnood Faraji, Yazid Attabi, Benoit Champagne +1

The advent of learning-based methods in speech enhancement has revived the need for robust and reliable training features that can compactly represent speech signals while preservi…

eess.SP2020

Genetic Algorithm Optimized Support Vector Machine in NOMA-Based Satellite Networks with Imperfect CSI

Xiaojuan Yan, Kang An, Cheng-Xiang Wang +3

With the help of a power-domain non-orthogonal multiple access (NOMA) scheme, satellite networks can simultaneously serve multiple users within limited time/spectrum resource block…

cs.IT2018

Joint Doppler and Channel Estimation with Nested Arrays for Millimeter Wave Communications

Xiaohuan Wu, Wei-Ping Zhu, Min Lin +1

Channel estimation is essential for precoding/combining in millimeter wave (mmWave) communications. However, accurate estimation is usually difficult because the receiver can only…

eess.AS2018

Speech Enhancement in Adverse Environments Based on Non-stationary Noise-driven Spectral Subtraction and SNR-dependent Phase Compensation

Md Tauhidul Islam, Asaduzzaman, Celia Shahnaz +2

A two-step enhancement method based on spectral subtraction and phase spectrum compensation is presented in this paper for noisy speeches in adverse environments involving non-stat…

eess.AS2018

Enhancement of Noisy Speech Exploiting an Exponential Model Based Threshold and a Custom Thresholding Function in Perceptual Wavelet Packet Domain

Md Tauhidul Islam, Celia Shahnaz, Wei-Ping Zhu +1

For enhancement of noisy speech, a method of threshold determination based on modeling of Teager energy (TE) operated perceptual wavelet packet (PWP) coefficients of the noisy spee…