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Adaptive estimation of speech parameters
Thesis (MEng)--University of Stellenbosch, 1994.
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| Format: | Thesis |
| Language: | en_ZA |
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Stellenbosch : Stellenbosch University
2012
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| _version_ | 1867613842138202112 |
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| access_status_str | Open Access |
| author | Basson, J. A. L |
| author2 | Du Preez, J. A. |
| author_browse | Basson, J. A. L Du Preez, J. A. |
| author_facet | Du Preez, J. A. Basson, J. A. L |
| author_sort | Basson, J. A. L |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MEng)--University of Stellenbosch, 1994. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/58236 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA |
| last_indexed | 2026-06-10T12:42:33.557Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2012 |
| publishDateRange | 2012 |
| publishDateSort | 2012 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/58236 Adaptive estimation of speech parameters Basson, J. A. L Du Preez, J. A. Stellenbosch University. Faculty of Engineering. Dept. of Electrical & Electronic Engineering. Speech processing systems Automatic speech recognition Algorithms Thesis (MEng)--University of Stellenbosch, 1994. ENGLISH ABSTRACT: Linear predictive coding(LPC), and transformations of it, is currently the most popular way of analysing speech signals. Major limitations of using a frame-based technique are that each frame is analysed in isolation of the rest while assuming the excitation source to be a white, gaussian process. In order to reduce computation time, an all pole model is usually employed. In this project an adaptive algorithm is proposed for speech signal analysis. The algorithm is based on the recursive least mean squares method with a variable forgetting factor. A pole-zero model is used to: estimate the anti-formants present in certain sounds (i.e. nasals and nasalized vowels). This method offers better detection of poles and zeros in stationary environments and faster tracking of pole and zero frequencies in nonstationary signals than other sequential methods. An effective input estimation algorithm eliminates the influence of pitch on the parameter estimates by assuming the input to be a white noise process or a pulse sequence. AFRIKAANSE OPSOMMING: Linieere voorspellings-kodering, en transformasies daarvan, is huidiglik die gewildste metode t.o.v. die analise van spraakseine. Blok-gebaseerde algoritmes het ernstige tekortkominge. Elke raam word byvoorbeeld in isolasie van die res geanaliseer terwyl daar aangeneem word dat die intree na die spraakkanaal 'n wit, gaussiese ruisproses is. Om berekeningstyd te beperk word 'n model met slegs pole gebruik. In hierdie projek word 'n aanpasbare algoritme (gebaseer op die rekursiewe kleinste kwadrate metode) met 'n varierende vergeetfaktor voorgestel. 'n Pool-zero model bied akkurater opsporing van pole en zeros in stasionere omgewings. Dit bied ook vinniger volging van pool en zero frekwensies in nie-stasionere seine as ander aanpasbare algoritmes. 'n Effektiewe intree-beramings algoritme skakel die invloed van die fundamentele frekwensie op die beraamde parameters uit. Dit word reggekry deur te aanvaar dat die intree 'n wit ruis-proses of 'n pols reeks kan wees. 2012-08-27T11:38:52Z 2012-08-27T11:38:52Z 1994-03 Thesis http://hdl.handle.net/10019.1/58236 en_ZA Stellenbosch University 141 pages : illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Speech processing systems Automatic speech recognition Algorithms Basson, J. A. L Adaptive estimation of speech parameters |
| title | Adaptive estimation of speech parameters |
| title_full | Adaptive estimation of speech parameters |
| title_fullStr | Adaptive estimation of speech parameters |
| title_full_unstemmed | Adaptive estimation of speech parameters |
| title_short | Adaptive estimation of speech parameters |
| title_sort | adaptive estimation of speech parameters |
| topic | Speech processing systems Automatic speech recognition Algorithms |
| url | http://hdl.handle.net/10019.1/58236 |
| work_keys_str_mv | AT bassonjal adaptiveestimationofspeechparameters |