- Title
- Incorporating emotion detection in text-dependent speaker authentication
- Creator
- van Rensburg, Ebenhaeser Otto Janse
- Creator
- Von Solms, Rossouw
- Subject
- Automatic speech recognition
- Subject
- Biometric identification
- Subject
- Computer networks -- Security measures
- Subject
- Computer networks -- Access control
- Date Issued
- 2024-04
- Date
- 2024-04
- Type
- Doctoral theses
- Type
- text
- Identifier
- http://hdl.handle.net/10948/64566
- Identifier
- vital:73767
- Description
- Biometric authentication allows a person to access sensitive information using unique physical characteristics. Voice, as a biometric authentication method, is gaining popularity due to its unique characteristics and widespread availability on smartphones and other devices. It offers a secure and user-friendly alternative to traditional password-based authentication and allows a less intrusive authentication method than fingerprint authentication. Furthermore, a vast amount of information is portrayed through voice, such as age, gender, health, and emotional state. Gaining illegitimate access to information becomes significantly more difficult as biometrics are difficult to steal, and countermeasures to techniques such as replay attacks are constantly being improved. However, illegitimate access can be gained by forcing a legitimate person to authenticate themselves through voice. This study investigates how the emotion(s) carried by voice can assist in detecting if authentication was performed under duress. Knowledge is contributed using a three-phased approach: information gathering, experimentation, and deliberation. The experimentation phase is further divided into three phases to extract data, implement findings, and assess the value of determining duress using voice. This phased approach to experimentation ensures minimal change in variables and allows the drawn conclusions to be relevant to each phase. The first phase examines datasets and classifiers; the second phase explores feature enhancement techniques and their impact; and the third phase discusses performance measurements and their value to emotion detection.
- Description
- Thesis (DPhil) -- Faculty Of Engineering, the Built Environment and Technology, School of Information Technology, 2024
- Format
- computer
- Format
- online resource
- Format
- application/pdf
- Format
- 1 online resource (ix, 226 pages)
- Format
- Publisher
- Nelson Mandela University
- Publisher
- Faculty of Engineering, the Built Environment, and Technology
- Language
- English
- Rights
- Nelson Mandela University
- Rights
- All Rights Reserved
- Rights
- Open Access
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NMU School of Information and Communication Technology
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Janse van Rensburg, EO.pdf | 3 MB | Adobe Acrobat PDF | View Details Download |