New linear predictive methods for digital speech processing

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Varho, Susanna
dc.date.accessioned 2012-02-13T12:21:07Z
dc.date.available 2012-02-13T12:21:07Z
dc.date.issued 2001-04-20
dc.identifier.isbn 951-22-5410-7
dc.identifier.issn 1456-6303
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/2332
dc.description.abstract Speech processing is needed whenever speech is to be compressed, synthesised or recognised by the means of electrical equipment. Different types of phones, multimedia equipment and interfaces to various electronic devices, all require digital speech processing. As an example, a GSM phone applies speech processing in its RPE-LTP encoder/decoder (ETSI, 1997). In this coder, 20 ms of speech is first analysed in the short-term prediction (STP) part, and second in the long-term prediction (LTP) part. Finally, speech compression is achieved in the RPE encoding part, where only 1/3 of the encoded samples are selected to be transmitted. This thesis presents modifications for one of the most widely applied techniques in digital speech processing, namely linear prediction (LP). During recent decades linear prediction has played an important role in telecommunications and other areas related to speech compression and recognition. In linear prediction sample s(n) is predicted from its p previous samples by forming a linear combination of the p previous samples and by minimising the prediction error. This procedure in the time domain corresponds to modelling the spectral envelope of the speech spectrum in the frequency domain. The accuracy of the spectral envelope to the speech spectrum is strongly dependent on the order of the resulting all-pole filter. This, in turn, is usually related to the number of parameters required to define the model, and hence to be transmitted. Our study presents new predictive methods, which are modified from conventional linear prediction by taking the previous samples for linear combination differently. This algorithmic development aims at new all-pole techniques, which could present speech spectra with fewer parameters. en
dc.format.extent 63, [52]
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Helsinki University of Technology en
dc.publisher Teknillinen korkeakoulu fi
dc.relation.ispartofseries Report / Helsinki University of Technology Laboratory of Acoustics and Audio Signal Processing en
dc.relation.ispartofseries Raportti / Teknillinen korkeakoulu, akustiikan ja äänenkäsittelytekniikan laboratorio fi
dc.relation.ispartofseries 58 en
dc.relation.haspart S. Varho and P. Alku, A Linear Predictive Method Using Extrapolated Samples for Modelling of Voiced Speech, Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, NY, Session IV, pp. 13-16 (1997).
dc.relation.haspart S. Varho and P. Alku, Separated Linear Prediction - A new all-pole modelling technique for speech analysis, Speech Communication, Volume 24, pp. 111-121 (1998).
dc.relation.haspart S. Varho and P. Alku, Regressive Linear Prediction with Triplets - An Effective All-Pole Modelling Technique for Speech Processing, Proceedings of IEEE International Symposium on Circuits and Systems, Monterey, CA, Volume IV, pp. 194-197 (1998).
dc.relation.haspart S. Varho and P. Alku, Spectral Estimation of Voiced Speech with Regressive Linear Prediction, Proceedings of IX European Signal Processing Conference, Rhodes, Greece, Volume II, pp. 1189-1192 (1998).
dc.relation.haspart P. Alku and S. Varho, A New Linear Predictive Method for Compression of Speech Signals, Proceedings of the 5th International Conference on Spoken Language Processing, Sydney, Australia, Volume VI, pp. 2563-2566 (1998).
dc.relation.haspart S. Varho and P. Alku, A New Predictive Method for All-Pole Modelling of Speech Spectra with a Compressed Set of Parameters, Proceedings of IEEE International Symposium on Circuits and Systems, Orlando, FL, Volume III, pp. 126-129 (1999).
dc.relation.haspart S. Varho and P. Alku, A Linear Predictive Method Highly Compressed Presentation of Speech Spectra, to be published in Proceedings of IEEE International Symposium on Circuits and Systems, Geneva, Switzerland, Volume V, pp. 57-60 (2000).
dc.relation.haspart S. Varho and P. Alku, Linear Prediction of Speech by Sample Grouping, Proceedings of IEEE Nordic Signal Processing Symposium, Kolmården, Sweden, pp. 113-116 (2000).
dc.relation.haspart S. Varho and P. Alku, Separated Linear Prediction - Improved Spectral Modelling by Sample Grouping, Proceedings of IEEE International Symposium on Intelligent Signal Processing and Communication Systems, Honolulu, HI, pp. 731-735 (2000).
dc.subject.other Electrical engineering en
dc.title New linear predictive methods for digital speech processing en
dc.type G5 Artikkeliväitöskirja fi
dc.description.version reviewed en
dc.contributor.department Department of Electrical and Communications Engineering en
dc.contributor.department Sähkö- ja tietoliikennetekniikan osasto fi
dc.subject.keyword linear prediction en
dc.subject.keyword speech processing en
dc.subject.keyword speech analysis en
dc.subject.keyword spectral estimation en
dc.identifier.urn urn:nbn:fi:tkk-002771
dc.type.dcmitype text en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.type.ontasot Doctoral dissertation (article-based) en
dc.contributor.lab Laboratory of Acoustics and Audio Signal Processing en
dc.contributor.lab Akustiikan ja äänenkäsittelytekniikan laboratorio fi


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