Word and Monosyllable Recognition Using Lifters on Two-Dimensional Cepstrum.
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| Title: | Word and Monosyllable Recognition Using Lifters on Two-Dimensional Cepstrum. |
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| Authors: | Ariki, Yasuo1, Nagata, Masaaki2, Sakai, Toshlyuki1 |
| Source: | Systems & Computers in Japan. May89, Vol. 20 Issue 5, p23-33. 11p. |
| Subjects: | Word recognition, Monosyllables, Filters (Mathematics), Vocabulary, Lexicology, Reading (Elementary) |
| Abstract: | This paper examines experimentally the dynamical features which are useful in the recognition of words and monosyllables. By the two-dimensional cepstrum analysis of the speech waveform, the two-dimensional dynamical features are obtained for the time and frequency variations. First, the usefulness of the dynamic features for the time variation in the recognition is examined. It is shown as the result that the spectral envelope and its global variation are important in the recognition. It is shown especially that the recognition rate for the monosyllable is improved by providing a highs emphasis lifter for the dynamic feature, and the noise immunity is improved by providing a low-pass filter. The reason is that the high-emphasis lifter on the two-dimensional cepstrum emphasizes the formant in a two-dimensional way on the time-frequency plane, while the low-pass lifter corresponds to the two-dimensional smoothing on the time-frequency plane. Finally, the lifting on the two-dimensional cepstrum is compared experimentally with the usual one-dimensional cepstrum. Hence, it is seen that the two-dimensional cepstrum is better from the viewpoints of the monosyllable recognition and the recognition performance in a noisy environment. [ABSTRACT FROM AUTHOR] |
| Copyright of Systems & Computers in Japan is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 14004006 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Word and Monosyllable Recognition Using Lifters on Two-Dimensional Cepstrum. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ariki%2C+Yasuo%22">Ariki, Yasuo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Nagata%2C+Masaaki%22">Nagata, Masaaki</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Sakai%2C+Toshlyuki%22">Sakai, Toshlyuki</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Systems+%26+Computers+in+Japan%22">Systems & Computers in Japan</searchLink>. May89, Vol. 20 Issue 5, p23-33. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Word+recognition%22">Word recognition</searchLink><br /><searchLink fieldCode="DE" term="%22Monosyllables%22">Monosyllables</searchLink><br /><searchLink fieldCode="DE" term="%22Filters+%28Mathematics%29%22">Filters (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Vocabulary%22">Vocabulary</searchLink><br /><searchLink fieldCode="DE" term="%22Lexicology%22">Lexicology</searchLink><br /><searchLink fieldCode="DE" term="%22Reading+%28Elementary%29%22">Reading (Elementary)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper examines experimentally the dynamical features which are useful in the recognition of words and monosyllables. By the two-dimensional cepstrum analysis of the speech waveform, the two-dimensional dynamical features are obtained for the time and frequency variations. First, the usefulness of the dynamic features for the time variation in the recognition is examined. It is shown as the result that the spectral envelope and its global variation are important in the recognition. It is shown especially that the recognition rate for the monosyllable is improved by providing a highs emphasis lifter for the dynamic feature, and the noise immunity is improved by providing a low-pass filter. The reason is that the high-emphasis lifter on the two-dimensional cepstrum emphasizes the formant in a two-dimensional way on the time-frequency plane, while the low-pass lifter corresponds to the two-dimensional smoothing on the time-frequency plane. Finally, the lifting on the two-dimensional cepstrum is compared experimentally with the usual one-dimensional cepstrum. Hence, it is seen that the two-dimensional cepstrum is better from the viewpoints of the monosyllable recognition and the recognition performance in a noisy environment. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Systems & Computers in Japan is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/scj.4690200503 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 23 Subjects: – SubjectFull: Word recognition Type: general – SubjectFull: Monosyllables Type: general – SubjectFull: Filters (Mathematics) Type: general – SubjectFull: Vocabulary Type: general – SubjectFull: Lexicology Type: general – SubjectFull: Reading (Elementary) Type: general Titles: – TitleFull: Word and Monosyllable Recognition Using Lifters on Two-Dimensional Cepstrum. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ariki, Yasuo – PersonEntity: Name: NameFull: Nagata, Masaaki – PersonEntity: Name: NameFull: Sakai, Toshlyuki IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May89 Type: published Y: 1989 Identifiers: – Type: issn-print Value: 08821666 Numbering: – Type: volume Value: 20 – Type: issue Value: 5 Titles: – TitleFull: Systems & Computers in Japan Type: main |
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