Detection of Bat Acoustics Signals Using Voice Activity Detection Techniques with Random Forests Classification

Author(s):  
Adrian T. Ruiz ◽  
Julian Equihua ◽  
Santiago Martínez ◽  
Everardo Robredo ◽  
Günther Palm ◽  
...  
Author(s):  
P Mahalakshmi

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.


2019 ◽  
Author(s):  
Ruixi Lin ◽  
Charles Costello ◽  
Charles Jankowski ◽  
Vishwas Mruthyunjaya

2021 ◽  
Vol 175 ◽  
pp. 107832
Author(s):  
Joaquín García-Gómez ◽  
Roberto Gil-Pita ◽  
Miguel Aguilar-Ortega ◽  
Manuel Utrilla-Manso ◽  
Manuel Rosa-Zurera ◽  
...  

Author(s):  
R. V. Prasad ◽  
R. Muralishankar ◽  
S. Vijay ◽  
H. N. Shankar ◽  
Przemyslaw Pawelczak ◽  
...  

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