Speech Segmentation Using Bayesian Autoregressive Changepoint Detector
This submission is devoted to the study of the Bayesian autoregressive changepoint detector (BCD) and its use for speech segmentation. Results of the detector application to autoregressive signals as well as to real speech are given. BCD basic properties are described and discussed. The novel two-st...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Spolecnost pro radioelektronicke inzenyrstvi
1998-12-01
|
| Series: | Radioengineering |
| Online Access: | http://www.radioeng.cz/fulltexts/1998/98_04_03.pdf |
| _version_ | 1818503832252973056 |
|---|---|
| author | P. Sovka R. Cmejla |
| author_facet | P. Sovka R. Cmejla |
| author_sort | P. Sovka |
| collection | DOAJ |
| description | This submission is devoted to the study of the Bayesian autoregressive changepoint detector (BCD) and its use for speech segmentation. Results of the detector application to autoregressive signals as well as to real speech are given. BCD basic properties are described and discussed. The novel two-step algorithm consisting of cepstral analysis and BCD for automatic speech segmentation is suggested. |
| first_indexed | 2024-12-10T21:29:08Z |
| format | Article |
| id | doaj.art-afefe140176846ab8d5da53b8c49db27 |
| institution | Directory Open Access Journal |
| issn | 1210-2512 |
| language | English |
| last_indexed | 2024-12-10T21:29:08Z |
| publishDate | 1998-12-01 |
| publisher | Spolecnost pro radioelektronicke inzenyrstvi |
| record_format | Article |
| series | Radioengineering |
| spelling | doaj.art-afefe140176846ab8d5da53b8c49db272022-12-22T01:32:53ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25121998-12-0174Speech Segmentation Using Bayesian Autoregressive Changepoint DetectorP. SovkaR. CmejlaThis submission is devoted to the study of the Bayesian autoregressive changepoint detector (BCD) and its use for speech segmentation. Results of the detector application to autoregressive signals as well as to real speech are given. BCD basic properties are described and discussed. The novel two-step algorithm consisting of cepstral analysis and BCD for automatic speech segmentation is suggested.www.radioeng.cz/fulltexts/1998/98_04_03.pdf |
| spellingShingle | P. Sovka R. Cmejla Speech Segmentation Using Bayesian Autoregressive Changepoint Detector Radioengineering |
| title | Speech Segmentation Using Bayesian Autoregressive Changepoint Detector |
| title_full | Speech Segmentation Using Bayesian Autoregressive Changepoint Detector |
| title_fullStr | Speech Segmentation Using Bayesian Autoregressive Changepoint Detector |
| title_full_unstemmed | Speech Segmentation Using Bayesian Autoregressive Changepoint Detector |
| title_short | Speech Segmentation Using Bayesian Autoregressive Changepoint Detector |
| title_sort | speech segmentation using bayesian autoregressive changepoint detector |
| url | http://www.radioeng.cz/fulltexts/1998/98_04_03.pdf |
| work_keys_str_mv | AT psovka speechsegmentationusingbayesianautoregressivechangepointdetector AT rcmejla speechsegmentationusingbayesianautoregressivechangepointdetector |