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Presents speaker recognition with an emphasis on extraction features used in common speaker recognition systems
"Advances in Speaker Recognition" presents a comprehensive analysis of the progress of speaker recognition. The material addresses the technical aspects of voice technology within the framework of societal needs, such as the use of speech recognition software to produce up-to-date electronic health records, not withstanding patients making changes to health plans and physicians. Due to global security concerns, there is a greater need to identify a person’s identity from his or her voice. Included will be discussion of speaker biometrics literature, data collection, corpus design, the detection-to-error trade off curve, mono- and multi-lingual speaker detection, as well as research in mimic resistance.
Review of Speaker Biometrics Literature.- Data Collection and Corpus Design.- Review of Features for Speaker Biometrics.- Performance Evaluation – Discussion on Detection Error Trade-off Curve (DET).- Case study on Monolingual, Cross-lingual and Multilingual Speaker Recognition.- Evaluation of Mimic Resistance.- Summary and Conclusions.- Future Research Directions.