Frame synthesis for speech signal in code excited linear predictor
The method involves starting with an ideal regular pulse excitation sequence from which parameters are taken to form the stochastic components of the excitation vectors for a synthesis filter (12), yielding the reconstructed target signal. The parameters include the position of the first non-zero pu...
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creator | GOERTZ, UDO, 44797 BOCHUM, DE |
description | The method involves starting with an ideal regular pulse excitation sequence from which parameters are taken to form the stochastic components of the excitation vectors for a synthesis filter (12), yielding the reconstructed target signal. The parameters include the position of the first non-zero pulse in the sequence, the positions of a preselected number of largest pulses, and their amplitudes and signs. The number the of largest pulses is selected to be from one-sixth to one-quarter of the number of sample values in a subframe of the analytical frame. The stochastic excitation components are computed afresh for each subframe. |
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The parameters include the position of the first non-zero pulse in the sequence, the positions of a preselected number of largest pulses, and their amplitudes and signs. The number the of largest pulses is selected to be from one-sixth to one-quarter of the number of sample values in a subframe of the analytical frame. The stochastic excitation components are computed afresh for each subframe.</description><edition>6</edition><language>eng ; ger</language><subject>ACOUSTICS ; MUSICAL INSTRUMENTS ; PHYSICS ; SPEECH ANALYSIS OR SYNTHESIS ; SPEECH OR AUDIO CODING OR DECODING ; SPEECH OR VOICE PROCESSING ; SPEECH RECOGNITION</subject><creationdate>1997</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=19970626&DB=EPODOC&CC=DE&NR=19641619C1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=19970626&DB=EPODOC&CC=DE&NR=19641619C1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>GOERTZ, UDO, 44797 BOCHUM, DE</creatorcontrib><title>Frame synthesis for speech signal in code excited linear predictor</title><description>The method involves starting with an ideal regular pulse excitation sequence from which parameters are taken to form the stochastic components of the excitation vectors for a synthesis filter (12), yielding the reconstructed target signal. The parameters include the position of the first non-zero pulse in the sequence, the positions of a preselected number of largest pulses, and their amplitudes and signs. The number the of largest pulses is selected to be from one-sixth to one-quarter of the number of sample values in a subframe of the analytical frame. The stochastic excitation components are computed afresh for each subframe.</description><subject>ACOUSTICS</subject><subject>MUSICAL INSTRUMENTS</subject><subject>PHYSICS</subject><subject>SPEECH ANALYSIS OR SYNTHESIS</subject><subject>SPEECH OR AUDIO CODING OR DECODING</subject><subject>SPEECH OR VOICE PROCESSING</subject><subject>SPEECH RECOGNITION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>1997</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyjEOwjAMBdAsDAi4gzkAQwSq1JXSigOwV5bzSy2FJIozwO1ZOADTW97WXafKL5B9UltharTkSlYAWcn0mTiSJpIcQHiLNgSKmsCVSkVQabnu3WbhaDj83LnjND6G-wklz7DCgoQ230bfdxff-X7w53_OFzPyMfo</recordid><startdate>19970626</startdate><enddate>19970626</enddate><creator>GOERTZ, UDO, 44797 BOCHUM, DE</creator><scope>EVB</scope></search><sort><creationdate>19970626</creationdate><title>Frame synthesis for speech signal in code excited linear predictor</title><author>GOERTZ, UDO, 44797 BOCHUM, DE</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_DE19641619C13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; ger</language><creationdate>1997</creationdate><topic>ACOUSTICS</topic><topic>MUSICAL INSTRUMENTS</topic><topic>PHYSICS</topic><topic>SPEECH ANALYSIS OR SYNTHESIS</topic><topic>SPEECH OR AUDIO CODING OR DECODING</topic><topic>SPEECH OR VOICE PROCESSING</topic><topic>SPEECH RECOGNITION</topic><toplevel>online_resources</toplevel><creatorcontrib>GOERTZ, UDO, 44797 BOCHUM, DE</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>GOERTZ, UDO, 44797 BOCHUM, DE</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Frame synthesis for speech signal in code excited linear predictor</title><date>1997-06-26</date><risdate>1997</risdate><abstract>The method involves starting with an ideal regular pulse excitation sequence from which parameters are taken to form the stochastic components of the excitation vectors for a synthesis filter (12), yielding the reconstructed target signal. The parameters include the position of the first non-zero pulse in the sequence, the positions of a preselected number of largest pulses, and their amplitudes and signs. The number the of largest pulses is selected to be from one-sixth to one-quarter of the number of sample values in a subframe of the analytical frame. The stochastic excitation components are computed afresh for each subframe.</abstract><edition>6</edition><oa>free_for_read</oa></addata></record> |
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subjects | ACOUSTICS MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION |
title | Frame synthesis for speech signal in code excited linear predictor |
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