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Construction And Evaluation Of A Robust Multifeature Speech/music Discriminator (1997)
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BibTeX
@INPROCEEDINGS{Scheirer97constructionand,
author = {Eric Scheirer and Malcolm Slaney},
title = {Construction And Evaluation Of A Robust Multifeature Speech/music Discriminator},
booktitle = {},
year = {1997},
pages = {1331--1334}
}
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Abstract
We report on the construction of a real-time computer system capable of distinguishing speech signals from music signals over a wide range of digital audio input. We have examined 13 features intended to measure conceptually distinct properties of speech and/or music signals, and combined them in several multidimensional classification frameworks. We provide extensive data on systemperformanceand the cross-validated training/test setup used to evaluate the system. For the datasets currently in use, the best classifier classifies with 5.8% error on a frame-by-frame basis, and 1.4% error when integrating long (2.4 second) segments of sound. 1. OVERVIEW The problem of distinguishing speech signals from music signals has become increasingly important as automatic speech recognition (ASR) systems are applied to more and more "real-world" multimedia domains. If we wish to build systems that perform ASR on soundtrack data, for example, it is important to be able to distinguish which segments...
Keyphrases
robust multifeature speech music discriminator music signal speech signal real-time computer system distinct property frame-by-frame basis classifier classifies several multidimensional classification framework soundtrack data wide range digital audio input real-world multimedia domain automatic speech recognition cross-validated training test setup extensive data
