Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/46884
Title: Automatic recognition of musical instruments
Authors: Hlaing Zar Zar Phyu.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Issue Date: 2011
Abstract: The fundamental area in this project is Automatic Recognition of Musical Instruments. The idea is to analyze the musical instrument and recognize which instrument is playing. According to musical practice, this requires extraction of notes, their pitch and timings. The literature review part of this project introduces the studies on the sound of musical instruments, as well as related knowledge on instrument acoustics. The foundation for the important part of this project is the extraction of perceptually relevant features from acoustic musical signals. The most important part of this project concerns the development of algorithms that can be used to detect the fundamental frequencies of each note in the sound and measures the duration and loudness of each note in the sound.
Description: 72 p.
URI: http://hdl.handle.net/10356/46884
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
EEE_THESES_221.pdf
  Restricted Access
7.28 MBAdobe PDFView/Open

Page view(s)

397
Updated on Jun 23, 2024

Download(s)

16
Updated on Jun 23, 2024

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.