This paper describes music information retrieval (MIR) systems featuring automatic speech recognition. Although various interfaces for MIR have been proposed, speech-recognition interfaces suitable for retrieving musical pieces have not been studied. We propose two different speech-recognition interfaces for MIR, speech completion and speech spotter, and describe two MIR-based hands-free jukebo...

The paper presents a new compositional hierarchical model for robust music transcription. Its main features are unsupervised learning of a hierarchical representation of input data, transparency, which enables insights into the learned representation, as well as robustness and speed which make it suitable for real-world and real-time use. The model consists of multiple layers, each composed of ...

This research studies the relationship between socio-economic status and music consumption among the youth. The socio-economic indexes include prestige, power and property from Max Weber's Theory. This survey covers a researcher-made questionnaire along with 200 young ones between 15-35 years of age living in Tehran (areas: Elahieh, Jourdan, Apadana, Enghlab, Kianshahr, Ra-ahan). Nine hypothese...

Ethno-musicology is an academic field encompassing various approaches to the study of music that emphasize its cultural, social, material, cognitive, biological, and other dimensions or contexts instead of its isolated ‘sound’ component or any particular repertoire. The term ‘Ethno-musicology’ became common in1950, although the emergence of the field can be traced back to the late nineteenth ce...

This paper presents a design procedure for an adaptive power management control strategy based on a driving cycle recognition algorithm. The design goal of the control strategy is to minimize fuel consumption and engine-out NOx, HC and CO emissions on a set of diversified driving schedules. Seven facility-specific drive cycles are considered to represent different driving scenarios. For each fa...