A Review of Voice Activity Detection Techniques for On-Device Isolated Digit Recognition on Mobile Devices

2014 ◽  
pp. 317-329 ◽  
Author(s):  
M. K. Mustafa ◽  
Tony Allen ◽  
Lindsay Evett
Keyword(s):  
Mobile Devices ◽  
Voice Activity Detection ◽  
Activity Detection ◽  
Detection Techniques ◽  
Digit Recognition ◽  
Voice Activity

scholarly journals A REVIEW ON VOICE ACTIVITY DETECTION AND MEL-FREQUENCY CEPSTRAL COEFFICIENTS FOR SPEAKER RECOGNITION (TREND ANALYSIS)

2016 ◽  
Vol 9 (9) ◽  
pp. 360
Author(s):  
P Mahalakshmi
Keyword(s):  
Signal Processing ◽  
Speaker Recognition ◽  
Voice Activity Detection ◽  
Activity Detection ◽  
Mel Frequency Cepstral Coefficients ◽  
Detection Techniques ◽  
Cepstral Coefficients ◽  
Clear Idea ◽  
Mel Frequency Cepstral Coefficient ◽  
Voice Activity

ABSTRACTObjective: The objective of this review article is to give a complete review of various techniques that are used for speech recognition purposes overtwo decades.Methods: VAD-Voice Activity Detection, SAD-Speech Activity Detection techniques are discussed that are used to distinguish voiced from unvoicedsignals and MFCC- Mel Frequency Cepstral Coefficient technique is discussed which detects specific features.Results: The review results show that research in MFCC has been dominant in signal processing in comparison to VAD and other existing techniques.Conclusion: A comparison of different speaker recognition techniques that were used previously were discussed and those in current research werealso discussed and a clear idea of the better technique was identified through the review of multiple literature for over two decades.Keywords: Cepstral analysis, Mel-frequency cepstral coefficients, signal processing, speaker recognition, voice activity detection.

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