3 Application of Machine Learning in Music Analytics
Makarand R. Velankar, Amod Deshpande, Parag A. Kulkarni · 2020
With the growth of the internet and social media, music data is growing at an enormous rate. Music analytics has a wide canvas covering all aspects related to music. This chapter provides a glimpse of this large canvas with sample applications covered in detail. Machine learning has taken a central role in the progress of many domains including music analytics. This chapter will help the readers to understand various applications of machine learning in computational musicology. Music feature learning and musical pattern recognition give conceptual understanding and the challenges involved. Feature engineering algorithms for pitch detection or tempo estimation are covered in more detail with available popular feature extraction tools. Music classification and clustering examples explore the use of machine learning. Various applications ranging from the query by humming to music recommendations are provided for efficient music information retrieval. Future directions and challenges with deep learning as a new approach and incorporation of human cognition and perception as a challenge makes this domain a challenging research domain.