An Ensemble Approach for Speaker Identification from Audio Files in Noisy Environments
An Ensemble Approach for Speaker Identification from Audio Files in Noisy Environments
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Publisher
Basel: MDPI AG
Journal title
Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Automatic noise-robust speaker identification is essential in various applications, including forensic analysis, e-commerce, smartphones, and security systems. Audio files containing suspect speech often include background noise, as they are typically not recorded in soundproof environments. To this end, we address the challenges of noise robustnes...
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Full title
An Ensemble Approach for Speaker Identification from Audio Files in Noisy Environments
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TN_cdi_doaj_primary_oai_doaj_org_article_c5c31dba5fda41b49469304a5c339470
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c5c31dba5fda41b49469304a5c339470
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app142210426
