Niessen, M.E. (2004) Speaker specific features in vowels. Doctoral, Artificial Intelligence.
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Abstract
Speech communication is one of the fields of interest of Artificial Intelligence. Part of this process is the ability of the listener to recognize the speaker, a goal automatic speaker recognition (ASR) also tries to achieve. ASR can then be used in, for example, speaker verification systems for security purposes. To accomplish the goal of speaker recognition, information that is characteristic for a particular speaker needs to be recovered from the speech sound. However, speech sounds can differ in several ways: the content of the utterance, the situation in which it is said, and the speaker who expresses it. The last source of variation, the speaker, is the only one of interest to ASR. We were interested in the features in speech sounds that are speaker specific and can therefore be used to automatically discriminate between speakers. Formants are speaker specific and we developed a method to resolve formants from a the cochleogram of a speech sound. For three vowels we investigated whether particular characteristics of their formants are speaker specific and we found this is true for most of the characteristics.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Degree programme: | Artificial Intelligence |
| Thesis type: | Doctoral |
| Language: | English |
| Date Deposited: | 15 Feb 2018 07:28 |
| Last Modified: | 15 Feb 2018 07:28 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/8468 |
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