원문정보
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초록
영어
Onset detection is a primary task in audio processing for any higher-level audio processing such as music information retrieval or automatic speech recognition. Onset detection using data driven approach is hard due to labeled data scarcity. In this work we use some in build dataset for training our convolutional neural network (CNN) work and make some test data for Nepalese traditional music. The CNN with raw waveform of input audio signal performs well in this study for onset detection. This network performs well in diversified audio type where 50 millisecond windows are set in each audio file to identify the presence or absence of onset.
목차
Abstract
1. Introduction
2. Data
3. Proposed work / Methodology
3.1 Preparation and Audio Augmentation
3.2 Network Architecture
4. Results and Discussion
5. Conclusion
Acknowledgement
References
1. Introduction
2. Data
3. Proposed work / Methodology
3.1 Preparation and Audio Augmentation
3.2 Network Architecture
4. Results and Discussion
5. Conclusion
Acknowledgement
References
저자정보
참고문헌
자료제공 : 네이버학술정보