Model-based covariance mean variance classification techniques: algorithm development and application to the acoustic classification of zooplankton

1998 ◽  
Vol 23 (4) ◽  
pp. 344-364 ◽  
Author(s):  
L.V. Martin Traykovski ◽  
T.K. Stanton ◽  
P.H. Wiebe ◽  
J.F. Lynch
Keyword(s):  
Algorithm Development ◽  
Classification Techniques ◽  
Model Based ◽  
Acoustic Classification ◽  
Mean Variance

Covariance Mean Variance Classification (CMVC) techniques: Application to the acoustic classification of zooplankton

1998 ◽  
Vol 103 (5) ◽  
pp. 2958-2958
Author(s):  
Linda V. Martin Traykovski ◽  
Timothy K. Stanton ◽  
Peter H. Wiebe ◽  
James F. Lynch
Keyword(s):  
Acoustic Classification ◽  
Mean Variance

An unsupervised Hidden Markov Model-based system for the detection and classification of blue whale vocalizations off Chile

Bioacoustics ◽  
2019 ◽  
Vol 29 (2) ◽  
pp. 140-167 ◽  
Author(s):  
Susannah J. Buchan ◽  
Rodrigo Mahú ◽  
Jorge Wuth ◽  
Naysa Balcazar-Cabrera ◽  
Laura Gutierrez ◽  
...  
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Hidden Markov ◽  
Blue Whale ◽  
Model Based

scholarly journals Model-Based Segmentation and Classification of Trajectories

Algorithmica ◽  
2017 ◽  
Vol 80 (8) ◽  
pp. 2422-2452
Author(s):  
Sander P. A. Alewijnse ◽  
Kevin Buchin ◽  
Maike Buchin ◽  
Stef Sijben ◽  
Michel A. Westenberg
Keyword(s):  
Model Based

Model-based classification of nonstationary vocal fold vibrations

2006 ◽  
Vol 120 (2) ◽  
pp. 1012-1027 ◽  
Author(s):  
Tobias Wurzbacher ◽  
Raphael Schwarz ◽  
Michael Döllinger ◽  
Ulrich Hoppe ◽  
Ulrich Eysholdt ◽  
...  
Keyword(s):  
Vocal Fold ◽  
Model Based

Acoustic classification of coronal stops of Eastern Punjabi

Phonetica ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Qandeel Hussain ◽  
Alexei Kochetov
Keyword(s):  
Standard Deviation ◽  
Voice Onset Time ◽  
Voice Quality ◽  
Onset Time ◽  
Quality Measures ◽  
Spectral Measures ◽  
Cepstral Peak Prominence ◽  
Laryngeal Configurations ◽  
Acoustic Classification

Abstract Punjabi is an Indo-Aryan language which contrasts a rich set of coronal stops at dental and retroflex places of articulation across three laryngeal configurations. Moreover, all these stops occur contrastively in various positions (word-initially, -medially, and -finally). The goal of this study is to investigate how various coronal place and laryngeal contrasts are distinguished acoustically both within and across word positions. A number of temporal and spectral correlates were examined in data from 13 speakers of Eastern Punjabi: Voice Onset Time, release and closure durations, fundamental frequency, F1-F3 formants, spectral center of gravity and standard deviation, H1*-H2*, and cepstral peak prominence. The findings indicated that higher formants and spectral measures were most important for the classification of place contrasts across word positions, whereas laryngeal contrasts were reliably distinguished by durational and voice quality measures. Word-medially and -finally, F2 and F3 of the preceding vowels played a key role in distinguishing the dental and retroflex stops, while spectral noise measures were more important word-initially. The findings of this study contribute to a better understanding of factors involved in the maintenance of typologically rare and phonetically complex sets of place and laryngeal contrasts in the coronal stops of Indo-Aryan languages.

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