@Article{2019.100000136,
AUTHOR = {Jeong-Sik Park, Seok-Hoon Kim},
TITLE = {Noise Cancellation Based on Voice Activity Detection Using Spectral  Variation for Speech Recognition in Smart Home Devices},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {1},
PAGES = {149--159},
URL = {http://www.techscience.com/iasc/v26n1/39851},
ISSN = {2326-005X},
ABSTRACT = {Variety types of smart home devices have a main function of a human-machine 
interaction by speech recognition. Speech recognition system may be 
vulnerable to rapidly changing noises in home environments. This study 
proposes an efficient noise cancellation approach to eliminate the noises 
directly on the devices in real time. Firstly, we propose an advanced voice 
activity detection (VAD) technique to efficiently detect speech and non-speech 
regions on the basis of spectral property of speech signals. The VAD is then 
employed to enhance the conventional spectral subtraction method by steadily 
estimating noise signals in non-speech regions. On several experiments, our 
approach achieved superior performance compared to the conventional noise 
reduction approaches.},
DOI = {10.31209/2019.100000136}
}