Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Hierachical methods for large population speaker identification using telephone speech
This study focuses on speaker identificat ion. Several problems such as acoustic noise, channel noise, speaker variability, large population of known group of speakers wi thin the system and many others limit good SiD performance. The SiD system extracts speaker specific features from digitised spee...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Electrical Engineering
2014
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613179150860288 |
|---|---|
| access_status_str | Open Access |
| author | Lerato, Lerato |
| author2 | Mashao, Dije |
| author_browse | Lerato, Lerato Mashao, Dije |
| author_facet | Mashao, Dije Lerato, Lerato |
| author_sort | Lerato, Lerato |
| collection | Thesis |
| description | This study focuses on speaker identificat ion. Several problems such as acoustic noise, channel noise, speaker variability, large population of known group of speakers wi thin the system and many others limit good SiD performance. The SiD system extracts speaker specific features from digitised speech signa] for accurate identification. These feature sets are clustered to form the speaker template known as a speaker model. As the number of speakers enrolling into the system gets larger, more models accumulate and the interspeaker confusion results. This study proposes the hierarchical methods which aim to split the large population of enrolled speakers into smaller groups of model databases for minimising interspeaker confusion. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/5185 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:00.945Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/5185 Hierachical methods for large population speaker identification using telephone speech Lerato, Lerato Mashao, Dije Electrical Engineering This study focuses on speaker identificat ion. Several problems such as acoustic noise, channel noise, speaker variability, large population of known group of speakers wi thin the system and many others limit good SiD performance. The SiD system extracts speaker specific features from digitised speech signa] for accurate identification. These feature sets are clustered to form the speaker template known as a speaker model. As the number of speakers enrolling into the system gets larger, more models accumulate and the interspeaker confusion results. This study proposes the hierarchical methods which aim to split the large population of enrolled speakers into smaller groups of model databases for minimising interspeaker confusion. 2014-07-31T10:55:12Z 2014-07-31T10:55:12Z 2003 Master Thesis Masters MSc http://hdl.handle.net/11427/5185 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering Lerato, Lerato Hierachical methods for large population speaker identification using telephone speech |
| thesis_degree_str | Master's |
| title | Hierachical methods for large population speaker identification using telephone speech |
| title_full | Hierachical methods for large population speaker identification using telephone speech |
| title_fullStr | Hierachical methods for large population speaker identification using telephone speech |
| title_full_unstemmed | Hierachical methods for large population speaker identification using telephone speech |
| title_short | Hierachical methods for large population speaker identification using telephone speech |
| title_sort | hierachical methods for large population speaker identification using telephone speech |
| topic | Electrical Engineering |
| url | http://hdl.handle.net/11427/5185 |
| work_keys_str_mv | AT leratolerato hierachicalmethodsforlargepopulationspeakeridentificationusingtelephonespeech |