Speaker gender identification based on majority vote classifiers
Author:
Affiliation:
1. Univ. de Sfax (Tunisia)
2. Univ. Bordeaux (France)
Publisher
SPIE
Reference22 articles.
1. Gender identification using mfcc for telephone applications-a comparative study;Ahmad,2016
2. Investigation of the effect of data duration and speaker gender on text-independent speaker recognition
3. Effect of gender and call duration on customer satisfaction in call center big data;Llimona,2015
4. Implications of Using Male and Female Voices in Commercials: An Exploratory Study
5. Male and Female Voices in Commercials: Analysis of Effectiveness, Adequacy for the Product, Attention and Recall
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