Improving Speech Recognition Rate through Analysis Parameters
Speech signal is redundant and non-stationary by nature. Because of vocal tract inertness these variations are not very rapid and the signal can be considered as stationary in short segments. It is presumed that in short-time magnitude spectrum the most distinct information of speech is contained. T...
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| Format: | Article |
| Language: | English |
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Riga Technical University Press
2014-05-01
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| Series: | Electrical, Control and Communication Engineering |
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| Online Access: | https://doi.org/10.2478/ecce-2014-0009 |
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| author | Eringis Deividas Tamulevičius Gintautas |
| author_facet | Eringis Deividas Tamulevičius Gintautas |
| author_sort | Eringis Deividas |
| collection | DOAJ |
| description | Speech signal is redundant and non-stationary by nature. Because of vocal tract inertness these variations are not very rapid and the signal can be considered as stationary in short segments. It is presumed that in short-time magnitude spectrum the most distinct information of speech is contained. This is the main reason for speech signal analysis in frame-by-frame manner. The analyzed speech signal is segmented into overlapping segments (so-called frames) for this purpose. Segments of 15-25 ms with the overlap of 10-15 ms are used usually. |
| format | Article |
| id | doaj-art-dda5cb399cb942ad8d681b4fe96457d9 |
| institution | DOAJ |
| issn | 2255-9159 |
| language | English |
| publishDate | 2014-05-01 |
| publisher | Riga Technical University Press |
| record_format | Article |
| series | Electrical, Control and Communication Engineering |
| spelling | doaj-art-dda5cb399cb942ad8d681b4fe96457d92025-08-20T02:56:44ZengRiga Technical University PressElectrical, Control and Communication Engineering2255-91592014-05-0151616610.2478/ecce-2014-0009ecce-2014-0009Improving Speech Recognition Rate through Analysis ParametersEringis Deividas0Tamulevičius Gintautas1PhD Student, Vilnius University Institute of Mathematics and InformaticsResearcher, Vilnius University Institute of Mathematics and InformaticsSpeech signal is redundant and non-stationary by nature. Because of vocal tract inertness these variations are not very rapid and the signal can be considered as stationary in short segments. It is presumed that in short-time magnitude spectrum the most distinct information of speech is contained. This is the main reason for speech signal analysis in frame-by-frame manner. The analyzed speech signal is segmented into overlapping segments (so-called frames) for this purpose. Segments of 15-25 ms with the overlap of 10-15 ms are used usually.https://doi.org/10.2478/ecce-2014-0009computers and information processingspeech analysisspeech recognitionspeech enhancement |
| spellingShingle | Eringis Deividas Tamulevičius Gintautas Improving Speech Recognition Rate through Analysis Parameters Electrical, Control and Communication Engineering computers and information processing speech analysis speech recognition speech enhancement |
| title | Improving Speech Recognition Rate through Analysis Parameters |
| title_full | Improving Speech Recognition Rate through Analysis Parameters |
| title_fullStr | Improving Speech Recognition Rate through Analysis Parameters |
| title_full_unstemmed | Improving Speech Recognition Rate through Analysis Parameters |
| title_short | Improving Speech Recognition Rate through Analysis Parameters |
| title_sort | improving speech recognition rate through analysis parameters |
| topic | computers and information processing speech analysis speech recognition speech enhancement |
| url | https://doi.org/10.2478/ecce-2014-0009 |
| work_keys_str_mv | AT eringisdeividas improvingspeechrecognitionratethroughanalysisparameters AT tamuleviciusgintautas improvingspeechrecognitionratethroughanalysisparameters |