255 citations · 780 across the 58 of their papers we have counts for
11 papers · 1 filter
Deep Spoken Keyword Spotting: An Overview
Iván López-Espejo, Zheng-Hua Tan, John Hansen +1
Spoken keyword spotting (KWS) deals with the identification of keywords in audio streams and has become a fast-growing technology thanks to the paradigm shift introduced by deep le…
Joint Far- and Near-End Speech Intelligibility Enhancement based on the Approximated Speech Intelligibility Index
Andreas Jonas Fuglsig, Jan Østergaard, Jesper Jensen +3
This paper considers speech enhancement of signals picked up in one noisy environment which must be presented to a listener in another noisy environment. Recently, it has been show…
Radio Sensing with Large Intelligent Surface for 6G
Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen +2
This paper leverages the potential of Large Intelligent Surface (LIS) for radio sensing in 6G wireless networks. Major research has been undergone about its communication capabilit…
Design of AoI-Aware 5G Uplink Scheduler UsingReinforcement Learning
Chien-Cheng Wu, Petar Popovski, Zheng-Hua Tan +1
Age of Information (AoI) reflects the time that is elapsed from the generation of a packet by a 5G user equipment(UE) to the reception of the packet by a controller. A design of an…
Remote Anomaly Detection in Industry 4.0 Using Resource-Constrained Devices
Anders E. Kalør, Daniel Michelsanti, Federico Chiariotti +2
A central use case for the Internet of Things (IoT) is the adoption of sensors to monitor physical processes, such as the environment and industrial manufacturing processes, where…
Explicit construction of the minimum error variance estimator for stochastic LTI state-space systems
Deividas Eringis, John Leth, Zheng-Hua Tan +2
In this short article, we showcase the derivation of the optimal (minimum error variance) estimator, when one part of the stochastic LTI system output is not measured but is able t…
Improvement of Noise-Robust Single-Channel Voice Activity Detection with Spatial Pre-processing
Max Væhrens, Andreas Jonas Fuglsig, Anders Post Jacobsen +4
Voice activity detection (VAD) remains a challenge in noisy environments. With access to multiple microphones, prior studies have attempted to improve the noise robustness of VAD b…
INTERSPEECH 2021 ConferencingSpeech Challenge: Towards Far-field Multi-Channel Speech Enhancement for Video Conferencing
Wei Rao, Yihui Fu, Yanxin Hu +11
The ConferencingSpeech 2021 challenge is proposed to stimulate research on far-field multi-channel speech enhancement for video conferencing. The challenge consists of two separate…
On TasNet for Low-Latency Single-Speaker Speech Enhancement
Morten Kolbæk, Zheng-Hua Tan, Søren Holdt Jensen +1
In recent years, speech processing algorithms have seen tremendous progress primarily due to the deep learning renaissance. This is especially true for speech separation where the…
PAC-Bayesian theory for stochastic LTI systems
Deividas Eringis, John Leth, Zheng-Hua Tan +3
In this paper we derive a PAC-Bayesian error bound for autonomous stochastic LTI state-space models. The motivation for deriving such error bounds is that they will allow deriving…
Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification
Achintya Kumar Sarkar, Md Sahidullah, Zheng-Hua Tan
In this paper, we propose a novel method that trains pass-phrase specific deep neural network (PP-DNN) based auto-encoders for creating augmented data for text-dependent speaker ve…