The method has a computational complexity of O(nĢ), where n is the length of the query excerpt. The music is classified as being from the genre whose accent profile is most highly correlated with the sample profile. We propose an algorithm that uses Inner Metric Analysis to map note onset information to an accent profile that can then be compared to template profiles generated from rhythm patterns typical of each genre.
These accent patterns tend to correspond to perceptual groupings of the notes. Inner Metric Analysis reveals not only the periodicity patterns in the music, but also the accent patterns peculiar to each musical genre. Prior classification methods focussing on temporal features utilize tempo (speed) and meter (periodicity) patterns and are unable to distinguish between pieces in the same tempo and meter.
This paper introduces a method for music genre classification using a computational model for Inner Metric Analysis. Finally, the open issues and under-explored areas in ADT research are identified and discussed, providing future directions in this field. We explain the methods' technical details and drum-specific variations and evaluate these approaches on publicly available datasets with a consistent experimental setup. To provide more insights on the practice of ADT systems, we focus on two families of ADT techniques, namely methods based on Non-negative Matrix Factorization and Recurrent Neural Networks. This paper presents a comprehensive review of ADT research, including a thorough discussion of the task-specific challenges, categorization of existing techniques, and evaluation of several state-of-the-art systems.
Over the last two decades, several authors have attempted to tackle this problem under the umbrella term Automatic Drum Transcription (ADT). Especially the detection and classification of drum sound events by computational methods is considered to be an important and challenging research problem in the broader field of Music Information Retrieval.
If computers were able to analyze the drum part in recorded music, it would enable a variety of rhythm-related music processing tasks. In Western popular music, drums and percussion are an important means to emphasize and shape the rhythm, often defining the musical style.
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