Signal Processing and Machine Learning Approaches and Evaluation for Indian Classical Music
| Autor: | Rajashekhar Shastry, Anita Bai |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | IOP Conference Series: Materials Science and Engineering. 1116:012188 |
| ISSN: | 1757-899X 1757-8981 |
| DOI: | 10.1088/1757-899x/1116/1/012188 |
| Popis: | In the field of signal processing, a considerable amount of work has been done in the analysis and implementation of various techniques related to speech signal processing. When it comes to the Music signal processing, the techniques that are originally developed for speech signal processing have been applied to music signal with good results. In comparison with Indian classical music, lot of research work done in Western classical music on music audio analysis like information retrieval, singer/instrument identification, genre detection, etc.,. This paper provides an overview of some signal processing, and machine learning techniques that specifically applied to the Indian classical music for analyzing and identifying features such as tonic identification, genre classification, raga recognition, music transcription, rhythm, and timbre. We will look at how particular features of Indian Classical music signals impact and how these features are extracted. |
| Databáze: | OpenAIRE |
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