Given the relevance of the singing voice in popular western music, a system able to reliable identify those portions of a music audio file containing vocals would be very useful. In this work, we explore already used descriptors to perform this task and compare the performance of a statistical classifier using each kind of them, concluding that MFCC are the most appropriate. As an outcome of ou...

We assume that there are various musical groupings of perceptions according to the degree of schemata and there are two dominant music grouping schemata; (a) accent-oriented grouping schema and (b) phrasing schema (musical expression referred to as the Rainbow type). In order to verify these hypotheses, we investigated how listeners’ groupings change when the inner voice of Beethoven’s Piano So...

Detecting distinct features in modern pop music is an important problem that can have significant applications in areas such as multimedia entertainment. They can be used, for example, to give a visually coherent representation of the sound. The work developed for this project is meant to be used in the context of a multimedia, multi-touch game where the user has to perform simple tasks at the ...

Voice separation is an important component of Music Information Retrieval (MIR). In this paper, we present an HMM which can be used to separate music performance data in the form of MIDI into monophonic voices. It works on two basic principles: that consecutive notes within a single voice will tend to occur on similar pitches, and that there are short (if any) temporal gaps between them. We als...

This paper addresses the challenging scenario for the distanttalking control of a music playback device, a common portable speaker with four small loudspeakers in close proximity to one microphone. The user controls the device through voice, where the speech-to-music ratio can be as low as −30 dB during music playback. We propose a speech enhancement front-end that relies on known robust method...

Music is often experienced as a simultaneous progression of multiple streams of notes, or voices. The automatic separation of music into voices is complicated by the fact that music spans a voice-leading continuum ranging from monophonic, to homophonic, to polyphonic, often within the same work. We address this diversity by defining voice separation as the task of partitioning music into stream...

Although a substantial number of research projects have addressed music information retrieval over the past three decades, the field is still very immature. Few of these projects involve complex (polyphonic) music; methods for evaluation are at a very primitive stage of development; none of the projects tackles the problem of realistically large-scale databases. Many problems to be faced are du...

Audio classification acts as the fundamental step for lots of applications like content based audio retrieval and audio indexing. In this work, we have presented a novel scheme for classifying audio signal into three categories namely, speech, music without voice (instrumental) and music with voice (song). A hierarchical approach has been adopted to classify the signals. At the first stage, sig...