This paper addresses the problem of parameterization for speech/music discrimination. The
current successful parameterization based on cepstral coefficients uses the Fourier …

This paper presents a simple and effective approach to discriminate speech and music. First,
the proposed modified low energy ratio is extracted from each window-level segment as the …

Because of cost or convenience reasons, patients or elderly people would be hospitalized at
home and smart information systems would be needed in order to assist human operators …

The need to classify audio into categories such as speech or music is an important aspect of
many multimedia document retrieval systems. In this paper, we investigate audio features …

Detecting speech and music is an elementary step in extracting information from radio
broadcasts. Existing solutions either rely on general-purpose audio features, or build on …

Ageing affects the economic and social foundations of societies at world level. Health care
has to respond to the challenge that population ageing presents. Medical remote monitoring …

Speech/music classification is an integral part of various consumer electronics applications
such as audio codecs, multimedia document indexing, and automatic speech recognition …

The importance of automatic discrimination between speech signals and music signals has
evolved as a research topic over recent years. The need to classify audio into categories …

In most internationally recognized standardized multi-mode codecs, signal classification is
performed in a single step by either linear discrimination or SNR-based metrics. The …

The audio channel conveys rich clues for content-based multimedia indexing. Interesting
audio analysis includes, besides widely known speech recognition and speaker …