Fast methods for code search in CELP
The code excited linear prediction (CELP) technique has the potential for producing high quality synthetic speech at bit rates as low as 4.8 kb/s. Three fast search methods for selecting an optimal excitation sequence from a code book of stochastic vectors are described. The key idea is to inverse-f...
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| مؤلفون آخرون: | , |
| التنسيق: | article |
| منشور في: |
1993
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://eprints.kfupm.edu.sa/id/eprint/14491/1/14491_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14491/2/14491_2.doc |
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| _version_ | 1864513393812045824 |
|---|---|
| author | Ahmed, M.E. |
| author2 | Al-Suwaiyel, M.I. unknown |
| author2_role | author author |
| author_facet | Ahmed, M.E. Al-Suwaiyel, M.I. unknown |
| author_role | author |
| dc.creator.none.fl_str_mv | Ahmed, M.E. Al-Suwaiyel, M.I. unknown |
| dc.date.none.fl_str_mv | 1993-07 2020 |
| dc.format.none.fl_str_mv | application/pdf application/msword |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/14491/1/14491_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14491/2/14491_2.doc (1993) Fast methods for code search in CELP. Speech and Audio Processing, IEEE Transactions on, 1. |
| dc.language.none.fl_str_mv | en en |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.relation.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/14491/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Computer |
| dc.title.none.fl_str_mv | Fast methods for code search in CELP |
| dc.type.none.fl_str_mv | Article PeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | The code excited linear prediction (CELP) technique has the potential for producing high quality synthetic speech at bit rates as low as 4.8 kb/s. Three fast search methods for selecting an optimal excitation sequence from a code book of stochastic vectors are described. The key idea is to inverse-filter the actual speech with the formant and pitch filters to produce a residual error sequence (RES). The residual error is used to identify a neighborhood or a subset of codes for further processing. The first method, called dynamic nearest neighborhood (DNN), attempts to dynamically construct a neighborhood of the K codes of maximum correlation with the residual error. The second method, called nearest fixed neighborhood (NFN), clusters the code book into a fixed number of cells, and code search is performed on the codes of the cell nearest to the RES. The two methods achieve a reduction in the search procedure by a factor of 8-20 times. The third method combines the advantages of the first two methods to attain a reduction from 40 to 50 times. The performance of these techniques and some of their ramifications are addressed |
| eu_rights_str_mv | openAccess |
| format | article |
| id | KFUPM_7d201792206e1a0acc0cff724a7ae6b1 |
| identifier_str_mv | (1993) Fast methods for code search in CELP. Speech and Audio Processing, IEEE Transactions on, 1. |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai::14491 |
| publishDate | 1993 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Fast methods for code search in CELPAhmed, M.E.Al-Suwaiyel, M.I.unknownComputerThe code excited linear prediction (CELP) technique has the potential for producing high quality synthetic speech at bit rates as low as 4.8 kb/s. Three fast search methods for selecting an optimal excitation sequence from a code book of stochastic vectors are described. The key idea is to inverse-filter the actual speech with the formant and pitch filters to produce a residual error sequence (RES). The residual error is used to identify a neighborhood or a subset of codes for further processing. The first method, called dynamic nearest neighborhood (DNN), attempts to dynamically construct a neighborhood of the K codes of maximum correlation with the residual error. The second method, called nearest fixed neighborhood (NFN), clusters the code book into a fixed number of cells, and code search is performed on the codes of the cell nearest to the RES. The two methods achieve a reduction in the search procedure by a factor of 8-20 times. The third method combines the advantages of the first two methods to attain a reduction from 40 to 50 times. The performance of these techniques and some of their ramifications are addressedIEEE1993-072020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14491/1/14491_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14491/2/14491_2.doc (1993) Fast methods for code search in CELP. Speech and Audio Processing, IEEE Transactions on, 1. enenhttps://eprints.kfupm.edu.sa/id/eprint/14491/info:eu-repo/semantics/openAccessoai::144912019-11-01T14:06:04Z |
| spellingShingle | Fast methods for code search in CELP Ahmed, M.E. Computer |
| status_str | publishedVersion |
| title | Fast methods for code search in CELP |
| title_full | Fast methods for code search in CELP |
| title_fullStr | Fast methods for code search in CELP |
| title_full_unstemmed | Fast methods for code search in CELP |
| title_short | Fast methods for code search in CELP |
| title_sort | Fast methods for code search in CELP |
| topic | Computer |
| url | https://eprints.kfupm.edu.sa/id/eprint/14491/1/14491_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14491/2/14491_2.doc |