Robust features for automatic estimation of physical parameters from speech

Estimating speaker's physical parameters like height, weight and shoulder size can assist in voice forensics by providing additional knowledge about the speaker. In this work, statistics of the components of background GMM are employed as features in estimating the physical parameters. These fe...

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Bibliographic Details
Main Authors: Babu, Kalluri Shareef, Vijayasenan, Deepu
Format: Conference Proceeding
Language:English
Subjects:
Estimation
Feature extraction
first order statistics
GMM-UBM
height
MFCC
Physical parameters
Robustness
shoulder size
Speech
Speech forensics
Support vector machines
SVR
Training
Training data
weight
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Description
Summary:Estimating speaker's physical parameters like height, weight and shoulder size can assist in voice forensics by providing additional knowledge about the speaker. In this work, statistics of the components of background GMM are employed as features in estimating the physical parameters. These features improved the performance of height and shoulder size estimation as compared to our earlier attempt based on a Bag of Word representation. The robustness of the features is validated using two different training subsets containing different languages.
ISSN:2159-3450
DOI:10.1109/TENCON.2017.8228097