Skip to main content

Identification of polyphonic piano signals

Buy Article:

$33.00 plus tax (Refund Policy)

Abstract:

This paper presents a spectral identification method using a data base as a reference and applied to piano sounds. This method has a low cost in terms of computational time and allows the treatment of five octaves for polyphonic signals. The characteristic inharmonicity of piano notes and a sufficient number of partials present in a note spectrum are taken into account to treat the lower octaves and to avoid octave errors. An original method of linear search, based on the comparison between a data base of note spectra, used as a reference, and the incoming spectrum, allows a simple and fast identification.

Document Type: Research Article

Publication date: 1997-11-01

More about this publication?
  • Acta Acustica united with Acustica, published together with the European Acoustics Association (EAA), is an international, peer-reviewed journal on acoustics. It publishes original articles on all subjects in the field of acoustics, such as general linear acoustics, nonlinear acoustics, macrosonics, flow acoustics, atmospheric sound, underwater sound, ultrasonics, physical acoustics, structural acoustics, noise control, active control, environmental noise, building acoustics, room acoustics, acoustic materials, acoustic signal processing, computational and numerical acoustics, hearing, audiology and psychoacoustics, speech, musical acoustics, electroacoustics, auditory quality of systems. It reports on original scientific research in acoustics and on engineering applications. The journal considers scientific papers, technical and applied papers, book reviews, short communications, doctoral thesis abstracts, etc. In irregular intervals also special issues and review articles are published.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Information for Advertisers
  • Terms & Conditions
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more