Abstract
An important consideration for the deployment of speaker recognition in authentication applications is the approach to the formation of training and testing utterances . Whilst defining this for a specific scenario is influenced by the associated requirements and conditions, the process can be further guided through the establishment of the relative usefulness of alternative frameworks for composing the training and testing material. In this regard, the present paper provides an analysis of the effects, on the speaker recognition accuracy, of various bases for the formation of the training and testing data. The experimental investigations are conducted based on the use of digit utterances taken from the XM2VTS database. The paper presents a detailed description of the individual approaches considered and discusses the experimental results obtained in different cases.
Original language | English |
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Title of host publication | 2019 International Carnahan Conference on Security Technology (ICCST), CHENNAI, India, 2019 |
Subtitle of host publication | IEEE ICCST 2019 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 1-5 |
Number of pages | 5 |
ISBN (Electronic) | 9781728115764 |
ISBN (Print) | 978-1-7281-1575-7 |
DOIs | |
Publication status | Published - 31 Oct 2019 |
Event | The IEEE (53rd) International Carnahan Conference on Security Technology - Anna University, Chennai, India Duration: 1 Oct 2019 → 3 Oct 2019 http://www.mitindia.edu/ICCST2019/ |
Publication series
Name | Proceedings - International Carnahan Conference on Security Technology |
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Volume | 2019-October |
ISSN (Print) | 1071-6572 |
Conference
Conference | The IEEE (53rd) International Carnahan Conference on Security Technology |
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Country/Territory | India |
City | Chennai |
Period | 1/10/19 → 3/10/19 |
Internet address |
Keywords
- Biometric Applications
- Speaker Authentication
- Speaker Recognition