An Algorithm for Parameters Estimation of Autoregressive Model of Basic Speech Units
The article considers the problem of estimating autoregressive model parameters of elementary speech units such as phonemes. It is suggested an iterative algorithm based on the Newton numerical minimization technique to search an autoregressive model of phonemes specified its multiple samples. For t...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Yaroslavl State University
2013-04-01
|
| Series: | Моделирование и анализ информационных систем |
| Subjects: | |
| Online Access: | https://www.mais-journal.ru/jour/article/view/203 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849338714077003776 |
|---|---|
| author | I. V. Gubochkin |
| author_facet | I. V. Gubochkin |
| author_sort | I. V. Gubochkin |
| collection | DOAJ |
| description | The article considers the problem of estimating autoregressive model parameters of elementary speech units such as phonemes. It is suggested an iterative algorithm based on the Newton numerical minimization technique to search an autoregressive model of phonemes specified its multiple samples. For this purpose the analytical expressions of the gradient and the Hessian of Kullback–Leibler information divergence between autoregressive models were computed. Experimental studies on a set of English phonemes showed that the developed algorithm requires less computational effort for large amounts of data, and iterations count depends little on the amount of input data as opposed to reference phoneme selection algorithm based on the criterion of a minimum sum of information divergence. Moreover, the proposed algorithm allows finding models of phonemes, which provide a higher probability of correct recognition. |
| format | Article |
| id | doaj-art-c2df13f643a14ffab45f3c96053fd70a |
| institution | Kabale University |
| issn | 1818-1015 2313-5417 |
| language | English |
| publishDate | 2013-04-01 |
| publisher | Yaroslavl State University |
| record_format | Article |
| series | Моделирование и анализ информационных систем |
| spelling | doaj-art-c2df13f643a14ffab45f3c96053fd70a2025-08-20T03:44:19ZengYaroslavl State UniversityМоделирование и анализ информационных систем1818-10152313-54172013-04-01202233310.18255/1818-1015-2013-2-23-33197An Algorithm for Parameters Estimation of Autoregressive Model of Basic Speech UnitsI. V. Gubochkin0Linguistics University of Nizhny NovgorodThe article considers the problem of estimating autoregressive model parameters of elementary speech units such as phonemes. It is suggested an iterative algorithm based on the Newton numerical minimization technique to search an autoregressive model of phonemes specified its multiple samples. For this purpose the analytical expressions of the gradient and the Hessian of Kullback–Leibler information divergence between autoregressive models were computed. Experimental studies on a set of English phonemes showed that the developed algorithm requires less computational effort for large amounts of data, and iterations count depends little on the amount of input data as opposed to reference phoneme selection algorithm based on the criterion of a minimum sum of information divergence. Moreover, the proposed algorithm allows finding models of phonemes, which provide a higher probability of correct recognition.https://www.mais-journal.ru/jour/article/view/203automatic speech recognitionbasic speech unitsinformation divergencephoneme |
| spellingShingle | I. V. Gubochkin An Algorithm for Parameters Estimation of Autoregressive Model of Basic Speech Units Моделирование и анализ информационных систем automatic speech recognition basic speech units information divergence phoneme |
| title | An Algorithm for Parameters Estimation of Autoregressive Model of Basic Speech Units |
| title_full | An Algorithm for Parameters Estimation of Autoregressive Model of Basic Speech Units |
| title_fullStr | An Algorithm for Parameters Estimation of Autoregressive Model of Basic Speech Units |
| title_full_unstemmed | An Algorithm for Parameters Estimation of Autoregressive Model of Basic Speech Units |
| title_short | An Algorithm for Parameters Estimation of Autoregressive Model of Basic Speech Units |
| title_sort | algorithm for parameters estimation of autoregressive model of basic speech units |
| topic | automatic speech recognition basic speech units information divergence phoneme |
| url | https://www.mais-journal.ru/jour/article/view/203 |
| work_keys_str_mv | AT ivgubochkin analgorithmforparametersestimationofautoregressivemodelofbasicspeechunits AT ivgubochkin algorithmforparametersestimationofautoregressivemodelofbasicspeechunits |