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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...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Morgan & Claypool Publishers
2009
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/1614192 |
_version_ | 1780932339216416768 |
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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 |