<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-18T00:15:06Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:10230/34072" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:10230/34072</identifier><datestamp>2025-12-24T09:01:09Z</datestamp><setSpec>com_2072_6</setSpec><setSpec>col_2072_452952</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>A system for sound analysis/transformation/synthesis based on a deterministic plus stochastic decomposition</dc:title>
   <dc:creator>Serra, Xavier</dc:creator>
   <dc:subject>So -- Enregistrament i reproducció -- Tècniques digitals</dc:subject>
   <dc:description>This dissertation introduces a new analysis/synthesis method. It is designed to obtain musically useful intermediate representations for sound transformations. The method’s underlying model assumes that a sound is composed of a deterministic component plus a stochastic one. The deterministic component is represented by a series of sinusoids that are described by amplitude and frequency functions. The stochastic component is represented by a series of magnitude-spectrum envelopes that function as a time-varying filter excited by white noise. Together these representations make it possible for a synthesized sound to attain all the perceptual characteristics of the original sound. At the same time the representation is easily modified to create a wide variety of new sounds. This analysis/synthesis technique is based on the short-time Fourier transform (STFT). From the set of spectra returned by the STFT, the relevant peaks of each spectrum are detected and used as breakpoints in a set of frequency trajectories. The deterministic signal is obtained by synthesizing a sinusoid from each trajectory. Then, in order to obtain the stochastic component, a set of spectra of the deterministic component is computed, and these spectra are subtracted from the spectra of the original sound. The resulting spectral residuals are approximated by a series of envelopes, from which the stochastic signal is generated by performing an inverse-STFT. The result is a method that is appropriate for the manipulation of sounds. The intermediate representation is very flexible and musically useful in that it offers unlimited possibilities for transformation.</dc:description>
   <dc:date>2018-03-08T10:12:56Z</dc:date>
   <dc:date>2018-03-08T10:12:56Z</dc:date>
   <dc:date>1989</dc:date>
   <dc:type>info:eu-repo/semantics/doctoralThesis</dc:type>
   <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
   <dc:identifier>Serra X. A system for sound analysis/transformation/synthesis based on a deterministic plus stochastic decomposition [dissertation]. [Stanford]: Stanford University; 1989. 166 p.</dc:identifier>
   <dc:identifier>http://hdl.handle.net/10230/34072</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:rights>Aquest document està subjecte a una llicència Creative Commons</dc:rights>
   <dc:rights>https://creativecommons.org/licenses/by-nc/3.0/es/</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Stanford University</dc:publisher>
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