This report introduces a new corpus of music, speech, and noise. This dataset is suitable for training models for voice activity detection (VAD) and music/speech discrimination. Our corpus is released under a flexible Creative Commons license. The dataset consists of music from several genres, speech from twelve languages, and a wide assortment of technical and non-technical noises. We demonstr...

Singing voice detection is essential for contentbased applications such as those involving melody extraction and singer identification. This article is concerned with the accurate detection of singing voice phrases in north Indian classical vocal music. The component sound sources in such music fit into a typical framework (voice, rhythm and drone). We have used this a-priori knowledge to enhan...

Probabilistic methodologies provide successful tools for automated music composition, such as melodic harmonisation, since they capture statistical rules of the music idioms they are trained with. Proposed methodologies focus either on specific aspects of harmony (e.g., generating abstract chord symbols) or incorporate the determination of many harmonic characteristics in a single probabilistic...

AUTISM In order to pursue the argument, we need some general and relatively uncontroversial claims about autism and emotion. For brevity, by people with “autism,” I will mean people with what is termed “autism spectrum disorder”—which encompasses a variety and a range of different conditions, but which all involve a deficiency in thinking about other minds. Two decades ago there was a consensus...

Lovers of classical music may disagree about many things, but if you ask them to name the ideal musical form they will almost all say it is the string quartet. There are many reasons why the quartet has this revered place in the musical repertoire. The intimacy of the form allows composers to express profound ideas and emotions that are more diluted in their symphonies, concertos and operas. Pr...

A new voice activity detection algorithm based on long-term pitch divergence is presented. The long-term pitch divergence not only decomposes speech signals with a bionic decomposition but also makes full use of long-term information. It is more discriminative comparing with other feature sets, such as long-term spectral divergence. Experimental results show that among six analyzed algorithms, ...

This research examines parameters of drinking judgment by comparing sound characteristics before and after drinking using voice analysis. Until now, characteristics of drinkers are studied from perspectives of pitch, formant, and changes in size of sound, however, as these factors are very sensitive to environmental changes to be used as a measurer for judging drinking, it is important to find ...

Although quantifiable assessment of the singing voice is now commonplace, research on young (child and adolescent) voices is still in its infancy. There is still insufficient data on young people's voices based on which, "norms" in behavior could be modeled, particularly for contemporary commercial music (CCM), such as musical theater (MT). The objective of this study was to assess if quantifia...

OBJECTIVE The operatic singing technique is frequently used in classical music. Several acoustical parameters of this specific technique have been studied but how these parameters combine remains unclear. This study aims to further characterize the Western operatic singing technique by observing the effects of melody and technique on acoustical and musical parameters of the singing voice. MET...