Automatically assigned DDC number: 006454

Manually assigned DDC number: 00645

Number of references: 8

Title: Automatic Transcription of Simple Polyphonic Music: Robust Front End Processing

Author:

Subject: Keith D. Martin Automatic Transcription of Simple Polyphonic Music: Robust Front End Processing

Description: It is only very recently that systems have been developed that transcribe polyphonic music with more than two voices in even limited generality. Two of these systems [Kashino et al.1995, Martin 1996] have been built within a blackboard framework, integrating front ends based on sinusoidal analysis with musical knowledge. These and other systems to date rely on instrument models for detecting octaves. Recent results have shown that an autocorrelation-based front end may make bottom-up detection of octaves possible, thereby improving system performance as well as reducing the distance between transcription models and human audition. This report outlines the blackboard approach to automatic transcription and presents a new system based on the log-lag correlogram of [Ellis 1996]. Preliminary results are presented, outlining the bottom-up detection of octaves and transcription of simple polyphonic music. 1 Introduction In this report, we present the basis of an automatic transcription sys...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1997-04-29

Pubyear: 1996

Format: ps

Identifier: http://citeseer.ist.psu.edu/166263.html

Source: ftp://sound.media.mit.edu/pub/Papers/kdm-TR399.ps.gz

Language: en

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Rights: unrestricted

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