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Multi-Pitch Estimation (Synthesis Lectures on Speech and Audio Processing) - Softcover

 
9783031014307: Multi-Pitch Estimation (Synthesis Lectures on Speech and Audio Processing)
  • PublisherSpringer
  • Publication date2009
  • ISBN 10 3031014308
  • ISBN 13 9783031014307
  • BindingPaperback
  • LanguageEnglish
  • Edition number1
  • Number of pages160

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9781598298383: Multi-Pitch Estimation (Synthesis Lectures on Speech and Audio Processing)

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ISBN 10:  1598298380 ISBN 13:  9781598298383
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Christensen, Mads; Jakobsson, Andreas
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ISBN 10: 3031014308 ISBN 13: 9783031014307
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Christensen, Mads; Jakobsson, Andreas
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Christensen, Mads; Jakobsson, Andreas
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Christensen, Mads; Jakobsson, Andreas
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 estimation theoretical bounds are introduced, and the properties of speech and audio signals are discussed and illustrated. The presented methods include both single- and multi-pitch estimators based on statistical approaches, like maximum likelihood and maximum a posteriori methods, filtering methods based on both static and optimal adaptive designs, and subspace methods based on the principles of subspace orthogonality and shift-invariance. The application of these methods to analysis of speech and audio signals is demonstrated using both real and synthetic signals, and their performance is assessed under various conditions and their properties discussed. Finally, the estimators are compared in terms of computational and statistical efficiency, generalizability and robustness.Table of Contents: Fundamentals / Statistical Methods / Filtering Methods / Subspace Methods / Amplitude Estimation 160 pp. Englisch. Seller Inventory # 9783031014307

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 estimation theoretical bounds are introduced, and the properties of speech and audio signals are discussed and illustrated. The presented methods include both single- and multi-pitch estimators based on statistical approaches, like maximum likelihood and maximum a posteriori methods, filtering methods based on both static and optimal adaptive designs, and subspace methods based on the principles of subspace orthogonality and shift-invariance. The application of these methods to analysis of speech and audio signals is demonstrated using both real and synthetic signals, and their performance is assessed under various conditions and their properties discussed. Finally, the estimators are compared in terms of computational and statistical efficiency, generalizability and robustness.Table of Contents: Fundamentals / Statistical Methods / Filtering Methods / Subspace Methods / Amplitude Estimation. Seller Inventory # 9783031014307

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 application. Seller Inventory # 608129601

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