Subband-based Drum Transcription for Audio Signals

George Tzanetakis; Richard Ian McWalter; Ajay Kapur

doi:10.1109/MMSP.2005.248626

Subband-based Drum Transcription for Audio Signals

George Tzanetakis, Richard Ian McWalter, Ajay Kapur

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Content-based analysis of music can help manage the increasing amounts of music information available digitally and is becoming an important part of multimedia research. The use of drums and percussive sounds is pervasive to popular and world music. In this paper we describe an automatic system for detecting and transcribing low and medium-high frequency drum events from audio signals. Two different subband front-ends are utilized. The first is based on bandpass filters and the second is based on wavelet analysis. Experimental results utilizing music, drum loops and Indian tabla thekas as signals are provided. The proposed system can be used as a preprocessing step for rhythm-based music classification and retrieval. In addition it can be used for pedagogical purposes

Original language	English
Title of host publication	2005 IEEE 7th Workshop on Multimedia Signal Processing
Number of pages	4
Publisher	IEEE
Publication date	2005
ISBN (Print)	0-7803-9288-4
ISBN (Electronic)	0-7803-9289-2
DOIs	https://doi.org/10.1109/MMSP.2005.248626
Publication status	Published - 2005
Externally published	Yes
Event	2005 IEEE 7th Workshop on Multimedia Signal Processing - Shanghai , China Duration: 30 Oct 2005 → 2 Nov 2005 Conference number: 7 https://dblp.org/rec/conf/mmsp/2005.html

Conference

Conference	2005 IEEE 7th Workshop on Multimedia Signal Processing
Number	7
Country/Territory	China
City	Shanghai
Period	30/10/2005 → 02/11/2005
Internet address	https://dblp.org/rec/conf/mmsp/2005.html

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10.1109/MMSP.2005.248626

2005 mmsp drum

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@inproceedings{5d302ec68b1f465bad319f4010bff412,

title = "Subband-based Drum Transcription for Audio Signals",

abstract = "Content-based analysis of music can help manage the increasing amounts of music information available digitally and is becoming an important part of multimedia research. The use of drums and percussive sounds is pervasive to popular and world music. In this paper we describe an automatic system for detecting and transcribing low and medium-high frequency drum events from audio signals. Two different subband front-ends are utilized. The first is based on bandpass filters and the second is based on wavelet analysis. Experimental results utilizing music, drum loops and Indian tabla thekas as signals are provided. The proposed system can be used as a preprocessing step for rhythm-based music classification and retrieval. In addition it can be used for pedagogical purposes",

author = "George Tzanetakis and McWalter, {Richard Ian} and Ajay Kapur",

year = "2005",

doi = "10.1109/MMSP.2005.248626",

language = "English",

isbn = "0-7803-9288-4 ",

booktitle = "2005 IEEE 7th Workshop on Multimedia Signal Processing",

publisher = "IEEE",

address = "United States",

note = "2005 IEEE 7th Workshop on Multimedia Signal Processing, MMSP 2005 ; Conference date: 30-10-2005 Through 02-11-2005",

url = "https://dblp.org/rec/conf/mmsp/2005.html",

}

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T1 - Subband-based Drum Transcription for Audio Signals

AU - Tzanetakis, George

AU - McWalter, Richard Ian

AU - Kapur, Ajay

N1 - Conference code: 7

PY - 2005

Y1 - 2005

N2 - Content-based analysis of music can help manage the increasing amounts of music information available digitally and is becoming an important part of multimedia research. The use of drums and percussive sounds is pervasive to popular and world music. In this paper we describe an automatic system for detecting and transcribing low and medium-high frequency drum events from audio signals. Two different subband front-ends are utilized. The first is based on bandpass filters and the second is based on wavelet analysis. Experimental results utilizing music, drum loops and Indian tabla thekas as signals are provided. The proposed system can be used as a preprocessing step for rhythm-based music classification and retrieval. In addition it can be used for pedagogical purposes

AB - Content-based analysis of music can help manage the increasing amounts of music information available digitally and is becoming an important part of multimedia research. The use of drums and percussive sounds is pervasive to popular and world music. In this paper we describe an automatic system for detecting and transcribing low and medium-high frequency drum events from audio signals. Two different subband front-ends are utilized. The first is based on bandpass filters and the second is based on wavelet analysis. Experimental results utilizing music, drum loops and Indian tabla thekas as signals are provided. The proposed system can be used as a preprocessing step for rhythm-based music classification and retrieval. In addition it can be used for pedagogical purposes

U2 - 10.1109/MMSP.2005.248626

DO - 10.1109/MMSP.2005.248626

M3 - Article in proceedings

SN - 0-7803-9288-4

BT - 2005 IEEE 7th Workshop on Multimedia Signal Processing

PB - IEEE

T2 - 2005 IEEE 7th Workshop on Multimedia Signal Processing

Y2 - 30 October 2005 through 2 November 2005

ER -

Subband-based Drum Transcription for Audio Signals

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