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We present Essentia 2.0, an open-source C++ library for audio analysis and audio-based music information retrieval released under the Affero GPL license. It contains an extensive collection of reusable algorithms which implement audio input/output functionality, standard digital signal processing blocks, statistical characterization of data, and a large set(More)
The tonic is a fundamental concept in Indian classical music since it constitutes the base pitch from which a lead performer constructs the melodies, and accompanying instruments use it for tuning. This makes tonic identification an essential first step for most automatic analyses of Indian classical music, such as intonation and melodic analysis, and raga(More)
We present Essentia 2.0, an open-source C++ library for audio analysis and audio-based music information retrieval released under the Affero GPL license. It contains an extensive collection of reusable algorithms which implement audio input/output functionality, standard digital signal processing blocks, statistical characterization of data, and a large set(More)
—Discovery of repeating structures in music is fundamental to its analysis, understanding and interpretation. We present a data-driven approach for the discovery of short-time melodic patterns in large collections of Indian art music. The approach first discovers melodic patterns within an audio recording and subsequently searches for their repetitions in(More)
We perform a comparative evaluation of methodologies for computing similarity between short-time melodic fragments of audio recordings of Indian art music. We experiment with 560 different combinations of procedures and parameter values. These include the choices made for the sampling rate of the melody representation, pitch quantization levels,(More)
The meter of a musical excerpt provides high-level rhythmic information and is crucial to many Music Information Retrieval tasks. We investigate the use of a computationally efficient approach to metrical analysis based on psycho-acoustically motivated decomposition of the audio signal. A two-stage comb filter-based approach, originally proposed for double/(More)
Tonic is a fundamental concept in many music traditions and its automatic identification should be relevant for establishing the reference pitch when we analyse the melodic content of the music. In this paper, we present two metho-dologies for the identification of the tonic in audio recordings of makam music of Turkey, both taking advantage of some score(More)
Musical melodies contain hierarchically organized events, where some events are more salient than others, acting as melodic landmarks. In Hindustani music melodies, an important landmark is the occurrence of a ny¯ as. Occurrence of ny¯ as is crucial to build and sustain the format of a r¯ ag and mark the boundaries of melodic motifs. Detection of ny¯ as(More)
Detecting the occurrences of r¯ ags' characteristic melodic phrases from polyphonic audio recordings is a fundamental task for the analysis and retrieval of Indian art music. We propose an abstraction process and a complexity weighting scheme which improve melodic similarity by exploiting specific melodic characteristics in this music. In addition, we(More)