Method for Measuring the Intelligibility of Speech Signals in the Kullback–Leibler Information Metric
We consider the problem of determination of the intelligibility of speech of a speaker according to a finite fragment of the speech signal. It is shown that the main difficulties in the solution of this problem are connected with the necessity of analysis of small samples. To overcome the problem of...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Savchenko, V. V. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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| Übergeordnetes Werk: |
Enthalten in: Measurement techniques - Springer US, 1958, 62(2019), 9 vom: Dez., Seite 832-839 |
|---|---|
| Übergeordnetes Werk: |
volume:62 ; year:2019 ; number:9 ; month:12 ; pages:832-839 |
| Links: |
|---|
| DOI / URN: |
10.1007/s11018-019-01702-1 |
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OLC2047743745 |
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| 520 | |a We consider the problem of determination of the intelligibility of speech of a speaker according to a finite fragment of the speech signal. It is shown that the main difficulties in the solution of this problem are connected with the necessity of analysis of small samples. To overcome the problem of small samples, we proposed a new high-speed method for measuring the intelligibility of speech signals on the sonic level of its perception. The proposed method is based on the information indicator of speech intelligibility in the Kullback-Leibler metric. We consider an example of practical realization of the new method with the use of a self-regression model of minimum sound units from the speech flow of a speaker. The characteristics of efficiency of the new method are analyzed. It is shown that, under certain conditions, the application of the information indicator enables us to realize the general systems principle of guaranteed result. On the basis of the software developed by the authors, we designed and performed full-scale experiments and established quantitative estimates for the speed of this method. It is shown that, with the help of this method, quite accurate and reliable estimates of the information indicator are obtained for short (2–3 min) segments of speech signals. The accumulated results and the conclusions made on their basis are intended for applications in the development of new systems and improvement of the existing systems of automatic speech processing and recognition intended for the operation in the real-time mode. | ||
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10.1007/s11018-019-01702-1 doi (DE-627)OLC2047743745 (DE-He213)s11018-019-01702-1-p DE-627 ger DE-627 rakwb eng 620 VZ 11 ssgn Savchenko, V. V. verfasserin aut Method for Measuring the Intelligibility of Speech Signals in the Kullback–Leibler Information Metric 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 We consider the problem of determination of the intelligibility of speech of a speaker according to a finite fragment of the speech signal. It is shown that the main difficulties in the solution of this problem are connected with the necessity of analysis of small samples. To overcome the problem of small samples, we proposed a new high-speed method for measuring the intelligibility of speech signals on the sonic level of its perception. The proposed method is based on the information indicator of speech intelligibility in the Kullback-Leibler metric. We consider an example of practical realization of the new method with the use of a self-regression model of minimum sound units from the speech flow of a speaker. The characteristics of efficiency of the new method are analyzed. It is shown that, under certain conditions, the application of the information indicator enables us to realize the general systems principle of guaranteed result. On the basis of the software developed by the authors, we designed and performed full-scale experiments and established quantitative estimates for the speed of this method. It is shown that, with the help of this method, quite accurate and reliable estimates of the information indicator are obtained for short (2–3 min) segments of speech signals. The accumulated results and the conclusions made on their basis are intended for applications in the development of new systems and improvement of the existing systems of automatic speech processing and recognition intended for the operation in the real-time mode. speech speech technologies speech signal speech acoustics acoustic measurements theoretical information approach Savchenko, L. V. aut Enthalten in Measurement techniques Springer US, 1958 62(2019), 9 vom: Dez., Seite 832-839 (DE-627)129596876 (DE-600)240846-6 (DE-576)015090051 0543-1972 nnns volume:62 year:2019 number:9 month:12 pages:832-839 https://doi.org/10.1007/s11018-019-01702-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_70 GBV_ILN_170 AR 62 2019 9 12 832-839 |
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10.1007/s11018-019-01702-1 doi (DE-627)OLC2047743745 (DE-He213)s11018-019-01702-1-p DE-627 ger DE-627 rakwb eng 620 VZ 11 ssgn Savchenko, V. V. verfasserin aut Method for Measuring the Intelligibility of Speech Signals in the Kullback–Leibler Information Metric 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 We consider the problem of determination of the intelligibility of speech of a speaker according to a finite fragment of the speech signal. It is shown that the main difficulties in the solution of this problem are connected with the necessity of analysis of small samples. To overcome the problem of small samples, we proposed a new high-speed method for measuring the intelligibility of speech signals on the sonic level of its perception. The proposed method is based on the information indicator of speech intelligibility in the Kullback-Leibler metric. We consider an example of practical realization of the new method with the use of a self-regression model of minimum sound units from the speech flow of a speaker. The characteristics of efficiency of the new method are analyzed. It is shown that, under certain conditions, the application of the information indicator enables us to realize the general systems principle of guaranteed result. On the basis of the software developed by the authors, we designed and performed full-scale experiments and established quantitative estimates for the speed of this method. It is shown that, with the help of this method, quite accurate and reliable estimates of the information indicator are obtained for short (2–3 min) segments of speech signals. The accumulated results and the conclusions made on their basis are intended for applications in the development of new systems and improvement of the existing systems of automatic speech processing and recognition intended for the operation in the real-time mode. speech speech technologies speech signal speech acoustics acoustic measurements theoretical information approach Savchenko, L. V. aut Enthalten in Measurement techniques Springer US, 1958 62(2019), 9 vom: Dez., Seite 832-839 (DE-627)129596876 (DE-600)240846-6 (DE-576)015090051 0543-1972 nnns volume:62 year:2019 number:9 month:12 pages:832-839 https://doi.org/10.1007/s11018-019-01702-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_70 GBV_ILN_170 AR 62 2019 9 12 832-839 |
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10.1007/s11018-019-01702-1 doi (DE-627)OLC2047743745 (DE-He213)s11018-019-01702-1-p DE-627 ger DE-627 rakwb eng 620 VZ 11 ssgn Savchenko, V. V. verfasserin aut Method for Measuring the Intelligibility of Speech Signals in the Kullback–Leibler Information Metric 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 We consider the problem of determination of the intelligibility of speech of a speaker according to a finite fragment of the speech signal. It is shown that the main difficulties in the solution of this problem are connected with the necessity of analysis of small samples. To overcome the problem of small samples, we proposed a new high-speed method for measuring the intelligibility of speech signals on the sonic level of its perception. The proposed method is based on the information indicator of speech intelligibility in the Kullback-Leibler metric. We consider an example of practical realization of the new method with the use of a self-regression model of minimum sound units from the speech flow of a speaker. The characteristics of efficiency of the new method are analyzed. It is shown that, under certain conditions, the application of the information indicator enables us to realize the general systems principle of guaranteed result. On the basis of the software developed by the authors, we designed and performed full-scale experiments and established quantitative estimates for the speed of this method. It is shown that, with the help of this method, quite accurate and reliable estimates of the information indicator are obtained for short (2–3 min) segments of speech signals. The accumulated results and the conclusions made on their basis are intended for applications in the development of new systems and improvement of the existing systems of automatic speech processing and recognition intended for the operation in the real-time mode. speech speech technologies speech signal speech acoustics acoustic measurements theoretical information approach Savchenko, L. V. aut Enthalten in Measurement techniques Springer US, 1958 62(2019), 9 vom: Dez., Seite 832-839 (DE-627)129596876 (DE-600)240846-6 (DE-576)015090051 0543-1972 nnns volume:62 year:2019 number:9 month:12 pages:832-839 https://doi.org/10.1007/s11018-019-01702-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_70 GBV_ILN_170 AR 62 2019 9 12 832-839 |
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10.1007/s11018-019-01702-1 doi (DE-627)OLC2047743745 (DE-He213)s11018-019-01702-1-p DE-627 ger DE-627 rakwb eng 620 VZ 11 ssgn Savchenko, V. V. verfasserin aut Method for Measuring the Intelligibility of Speech Signals in the Kullback–Leibler Information Metric 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 We consider the problem of determination of the intelligibility of speech of a speaker according to a finite fragment of the speech signal. It is shown that the main difficulties in the solution of this problem are connected with the necessity of analysis of small samples. To overcome the problem of small samples, we proposed a new high-speed method for measuring the intelligibility of speech signals on the sonic level of its perception. The proposed method is based on the information indicator of speech intelligibility in the Kullback-Leibler metric. We consider an example of practical realization of the new method with the use of a self-regression model of minimum sound units from the speech flow of a speaker. The characteristics of efficiency of the new method are analyzed. It is shown that, under certain conditions, the application of the information indicator enables us to realize the general systems principle of guaranteed result. On the basis of the software developed by the authors, we designed and performed full-scale experiments and established quantitative estimates for the speed of this method. It is shown that, with the help of this method, quite accurate and reliable estimates of the information indicator are obtained for short (2–3 min) segments of speech signals. The accumulated results and the conclusions made on their basis are intended for applications in the development of new systems and improvement of the existing systems of automatic speech processing and recognition intended for the operation in the real-time mode. speech speech technologies speech signal speech acoustics acoustic measurements theoretical information approach Savchenko, L. V. aut Enthalten in Measurement techniques Springer US, 1958 62(2019), 9 vom: Dez., Seite 832-839 (DE-627)129596876 (DE-600)240846-6 (DE-576)015090051 0543-1972 nnns volume:62 year:2019 number:9 month:12 pages:832-839 https://doi.org/10.1007/s11018-019-01702-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_70 GBV_ILN_170 AR 62 2019 9 12 832-839 |
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Method for Measuring the Intelligibility of Speech Signals in the Kullback–Leibler Information Metric |
| abstract |
We consider the problem of determination of the intelligibility of speech of a speaker according to a finite fragment of the speech signal. It is shown that the main difficulties in the solution of this problem are connected with the necessity of analysis of small samples. To overcome the problem of small samples, we proposed a new high-speed method for measuring the intelligibility of speech signals on the sonic level of its perception. The proposed method is based on the information indicator of speech intelligibility in the Kullback-Leibler metric. We consider an example of practical realization of the new method with the use of a self-regression model of minimum sound units from the speech flow of a speaker. The characteristics of efficiency of the new method are analyzed. It is shown that, under certain conditions, the application of the information indicator enables us to realize the general systems principle of guaranteed result. On the basis of the software developed by the authors, we designed and performed full-scale experiments and established quantitative estimates for the speed of this method. It is shown that, with the help of this method, quite accurate and reliable estimates of the information indicator are obtained for short (2–3 min) segments of speech signals. The accumulated results and the conclusions made on their basis are intended for applications in the development of new systems and improvement of the existing systems of automatic speech processing and recognition intended for the operation in the real-time mode. © Springer Science+Business Media, LLC, part of Springer Nature 2019 |
| abstractGer |
We consider the problem of determination of the intelligibility of speech of a speaker according to a finite fragment of the speech signal. It is shown that the main difficulties in the solution of this problem are connected with the necessity of analysis of small samples. To overcome the problem of small samples, we proposed a new high-speed method for measuring the intelligibility of speech signals on the sonic level of its perception. The proposed method is based on the information indicator of speech intelligibility in the Kullback-Leibler metric. We consider an example of practical realization of the new method with the use of a self-regression model of minimum sound units from the speech flow of a speaker. The characteristics of efficiency of the new method are analyzed. It is shown that, under certain conditions, the application of the information indicator enables us to realize the general systems principle of guaranteed result. On the basis of the software developed by the authors, we designed and performed full-scale experiments and established quantitative estimates for the speed of this method. It is shown that, with the help of this method, quite accurate and reliable estimates of the information indicator are obtained for short (2–3 min) segments of speech signals. The accumulated results and the conclusions made on their basis are intended for applications in the development of new systems and improvement of the existing systems of automatic speech processing and recognition intended for the operation in the real-time mode. © Springer Science+Business Media, LLC, part of Springer Nature 2019 |
| abstract_unstemmed |
We consider the problem of determination of the intelligibility of speech of a speaker according to a finite fragment of the speech signal. It is shown that the main difficulties in the solution of this problem are connected with the necessity of analysis of small samples. To overcome the problem of small samples, we proposed a new high-speed method for measuring the intelligibility of speech signals on the sonic level of its perception. The proposed method is based on the information indicator of speech intelligibility in the Kullback-Leibler metric. We consider an example of practical realization of the new method with the use of a self-regression model of minimum sound units from the speech flow of a speaker. The characteristics of efficiency of the new method are analyzed. It is shown that, under certain conditions, the application of the information indicator enables us to realize the general systems principle of guaranteed result. On the basis of the software developed by the authors, we designed and performed full-scale experiments and established quantitative estimates for the speed of this method. It is shown that, with the help of this method, quite accurate and reliable estimates of the information indicator are obtained for short (2–3 min) segments of speech signals. The accumulated results and the conclusions made on their basis are intended for applications in the development of new systems and improvement of the existing systems of automatic speech processing and recognition intended for the operation in the real-time mode. © Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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| title_short |
Method for Measuring the Intelligibility of Speech Signals in the Kullback–Leibler Information Metric |
| url |
https://doi.org/10.1007/s11018-019-01702-1 |
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| author2 |
Savchenko, L. V. |
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Savchenko, L. V. |
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| doi_str |
10.1007/s11018-019-01702-1 |
| up_date |
2024-07-03T16:08:05.441Z |
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