The Predominant Pitch of Semivowels

Predominant pitch contour extraction from audio signals

This paper describes a computationally efficient method for estimating the predominant pitch in audio recordings. The proposed method is intended for building a contentbased indexing and retrieval system that can search in a audio database using the melody line of a complex input audio sample. Available pitch estimation methods are effective primarily when dealing with recordings of human voice...

Genre Classification based on Predominant Melodic Pitch Contours

Genre Classification based on Predominant Melodic Pitch Contours

We present an automatic genre classification system based on melodic features. First a ground truth genre dataset composed of polyphonic music excerpts is compiled. Predominant melodic pitch contours are then estimated, from which a series of descriptors is extracted. These features are related to melody pitch, variation and expressiveness (e.g. vibrato characteristics, pitch distributions, con...

Singing voice detection in polyphonic music using predominant pitch

This paper demonstrates the superiority of energy-based features derived from the knowledge of predominant-pitch, for singing voice detection in polyphonic music over commonly used spectral features. However, such energy-based features tend to misclassify loud, pitched instruments. To provide robustness to such accompaniment we exploit the relative instability of the pitch contour of the singin...

Preliminary experiments on the perception of double semivowels

A number of previous studies have shown that it is possible to recognise two vowel sounds spoken simultaneously if their pitches, onsets or the spatial locations of their sources differ sufficiently. Experiments have been carried out to explore the perception of isolated syllables containing the glides /w/ and /j/ spoken at the same time. It was found that consonants in concurrent syllables whi...