An overview of speech endpoint detection algorithms

T Zhang, Y Shao, Y Wu, Y Geng, L Fan - Applied Acoustics, 2020 - Elsevier
Speech endpoint detection is an important part of modern speech information processing
technology. The success of endpoint detection directly improves the performance and …

Acousticid: gait-based human identification using acoustic signal

W Xu, ZW Yu, Z Wang, B Guo, Q Han - … of the ACM on Interactive, Mobile …, 2019 - dl.acm.org
Human identification plays an important role in our daily lives. Previous studies have
successfully used characteristics such as fingerprints, irises, and facial features for identity …

Bolt loosening detection based on audio classification

Y Zhang, X Zhao, X Sun, W Su… - Advances in Structural …, 2019 - journals.sagepub.com
As the most widely used coupling structure in electromechanical systems, bolt coupling is
the important part in these systems. The reliability and strength of bolted joint are affected by …

A novel eye movement detection algorithm for EOG driven human computer interface

Z Lv, X Wu, M Li, D Zhang - Pattern Recognition Letters, 2010 - Elsevier
Bio-based human computer interface (HCI) has attracted more and more attention of
researchers all over the world in recent years. The paper is concerned with eye movement …

Photoplethysmogram signal quality evaluation by unsupervised learning approach

MS Roy, R Gupta, KD Sharma - 2020 IEEE Applied Signal …, 2020 - ieeexplore.ieee.org
Photoplethysmography (PPG) is gradually becoming popular tool for cardiovascular and
respiratory function monitoring under ambulatory condition. However, these measurements …

Comparison of information criteria for detection of useful signals in noisy environments

L Berlin, A Galyaev, P Lysenko - Sensors, 2023 - mdpi.com
This paper considers the appearance of indications of useful acoustic signals in the
signal/noise mixture. Various information characteristics (information entropy, Jensen …

Noise robust voice activity detection based on periodic to aperiodic component ratio

K Ishizuka, T Nakatani, M Fujimoto, N Miyazaki - Speech Communication, 2010 - Elsevier
This paper proposes a noise robust voice activity detection (VAD) technique called PARADE
(PAR based Activity DEtection) that employs the periodic component to aperiodic …

Study on the MFCC similarity-based voice activity detection algorithm

H Wang, Y Xu, M Li - 2011 2nd International Conference on …, 2011 - ieeexplore.ieee.org
The accuracy of voice activity detection (VAD) is one of the most important factors which
influence the capability of the speech recognition system, how to detect the endpoint …

SymListener: detecting respiratory symptoms via acoustic sensing in driving environments

Y Wu, F Li, Y Xie, Y Wang, Z Yang - ACM Transactions on Sensor …, 2023 - dl.acm.org
Sound-related respiratory symptoms are commonly observed in our daily lives. They are
closely related to illnesses, infections, or allergies but ignored by the majority. Existing …

Voice activity detection algorithm with low signal-to-noise ratios based on spectrum entropy

KC Wang, YH Tasi - 2008 Second International Symposium on …, 2008 - ieeexplore.ieee.org
This letter presents a robust voice activity detection (VAD) algorithm for detecting voice
activity in noisy environments. The presented robust VAD utilizes the entropy measurement …