Bloomfield Model Based Signal Process for Networks
This paper proposes a novel speech signal analysis approach based on the Bloomfield (BF) model, and provides a formulation of a time-domain BF model for speech signals with which speech signals can be reconstructed and the relevant characteristic parameters analyzed. The relationship between the par...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8329402/ |
| _version_ | 1819169225853370368 |
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| author | Changhua Yao Lei Wang Xiaohan Yu |
| author_facet | Changhua Yao Lei Wang Xiaohan Yu |
| author_sort | Changhua Yao |
| collection | DOAJ |
| description | This paper proposes a novel speech signal analysis approach based on the Bloomfield (BF) model, and provides a formulation of a time-domain BF model for speech signals with which speech signals can be reconstructed and the relevant characteristic parameters analyzed. The relationship between the parameters of the BF model and those of the linear prediction (LP) model are derived, and the speech feature sets derived via the LP and BF models are compared. A new algorithm is proposed for the recognition of isolated digit speech that utilizes a vector quantization approach and is based on the BF Model. The result is obtained with this BF approach that provides better results than those of the LP model when predicting speech signals. In particular, the BF approach has several advantages, including fewer parameters, a lower computational complexity, and accurate characterization of speakers. These advantages ensure the utility of the BF model in speech processing applications. |
| first_indexed | 2024-12-22T19:16:07Z |
| format | Article |
| id | doaj.art-faf75878f76e484da2619beec1039e90 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T19:16:07Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-faf75878f76e484da2619beec1039e902022-12-21T18:15:31ZengIEEEIEEE Access2169-35362018-01-016190651907210.1109/ACCESS.2018.28205108329402Bloomfield Model Based Signal Process for NetworksChanghua Yao0https://orcid.org/0000-0002-0434-8376Lei Wang1https://orcid.org/0000-0003-1191-7490Xiaohan Yu2College of Communication Engineering, Army Engineering University of PLA, Nanjing, ChinaCollege of Communication Engineering, Army Engineering University of PLA, Nanjing, ChinaCollege of Command Information Systems, Army Engineering University of PLA, Nanjing, ChinaThis paper proposes a novel speech signal analysis approach based on the Bloomfield (BF) model, and provides a formulation of a time-domain BF model for speech signals with which speech signals can be reconstructed and the relevant characteristic parameters analyzed. The relationship between the parameters of the BF model and those of the linear prediction (LP) model are derived, and the speech feature sets derived via the LP and BF models are compared. A new algorithm is proposed for the recognition of isolated digit speech that utilizes a vector quantization approach and is based on the BF Model. The result is obtained with this BF approach that provides better results than those of the LP model when predicting speech signals. In particular, the BF approach has several advantages, including fewer parameters, a lower computational complexity, and accurate characterization of speakers. These advantages ensure the utility of the BF model in speech processing applications.https://ieeexplore.ieee.org/document/8329402/Mathematical modelingbloomfield modelspeech signal modelingspeech recognition |
| spellingShingle | Changhua Yao Lei Wang Xiaohan Yu Bloomfield Model Based Signal Process for Networks IEEE Access Mathematical modeling bloomfield model speech signal modeling speech recognition |
| title | Bloomfield Model Based Signal Process for Networks |
| title_full | Bloomfield Model Based Signal Process for Networks |
| title_fullStr | Bloomfield Model Based Signal Process for Networks |
| title_full_unstemmed | Bloomfield Model Based Signal Process for Networks |
| title_short | Bloomfield Model Based Signal Process for Networks |
| title_sort | bloomfield model based signal process for networks |
| topic | Mathematical modeling bloomfield model speech signal modeling speech recognition |
| url | https://ieeexplore.ieee.org/document/8329402/ |
| work_keys_str_mv | AT changhuayao bloomfieldmodelbasedsignalprocessfornetworks AT leiwang bloomfieldmodelbasedsignalprocessfornetworks AT xiaohanyu bloomfieldmodelbasedsignalprocessfornetworks |