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Multi-pitch estimation

Periodic signals can be decomposed into sets of sinusoids having frequencies that are integer multiples of a fundamental frequency. The problem of finding such fundamental frequencies from noisy observations is important in many speech and audio applications, where it is commonly referred to as pitc...

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Detalles Bibliográficos
Autores principales: Christensen, Mads, Jakobsson, Andreas
Lenguaje:eng
Publicado: Morgan & Claypool Publishers 2009
Materias:
Acceso en línea:http://cds.cern.ch/record/1614192
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author Christensen, Mads
Jakobsson, Andreas
author_facet Christensen, Mads
Jakobsson, Andreas
author_sort Christensen, Mads
collection CERN
description Periodic signals can be decomposed into sets of sinusoids having frequencies that are integer multiples of a fundamental frequency. The problem of finding such fundamental frequencies from noisy observations is important in many speech and audio applications, where it is commonly referred to as pitch estimation. These applications include analysis, compression, separation, enhancement, automatic transcription and many more. In this book, an introduction to pitch estimation is given and a number of statistical methods for pitch estimation are presented. The basic signal models and associated es
id cern-1614192
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2009
publisher Morgan & Claypool Publishers
record_format invenio
spelling cern-16141922021-04-21T22:10:23Zhttp://cds.cern.ch/record/1614192engChristensen, MadsJakobsson, AndreasMulti-pitch estimationEngineeringPeriodic signals can be decomposed into sets of sinusoids having frequencies that are integer multiples of a fundamental frequency. The problem of finding such fundamental frequencies from noisy observations is important in many speech and audio applications, where it is commonly referred to as pitch estimation. These applications include analysis, compression, separation, enhancement, automatic transcription and many more. In this book, an introduction to pitch estimation is given and a number of statistical methods for pitch estimation are presented. The basic signal models and associated esMorgan & Claypool Publishersoai:cds.cern.ch:16141922009
spellingShingle Engineering
Christensen, Mads
Jakobsson, Andreas
Multi-pitch estimation
title Multi-pitch estimation
title_full Multi-pitch estimation
title_fullStr Multi-pitch estimation
title_full_unstemmed Multi-pitch estimation
title_short Multi-pitch estimation
title_sort multi-pitch estimation
topic Engineering
url http://cds.cern.ch/record/1614192
work_keys_str_mv AT christensenmads multipitchestimation
AT jakobssonandreas multipitchestimation