Robust Piano Music Transcription Based on Computer Vision-Reference-Cited by-同舟云学术

Robust Piano Music Transcription Based on Computer Vision

Published:2020-07-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 4th High Performance Computing and Cluster Technologies Conference & 2020 3rd International Conference on Big Data and Artificial Intelligence
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Author:

Li Jun¹,Xu Wei¹,Cao Yong¹,Liu Wei¹,Cheng Wenqing¹

Affiliation:

1. Huazhong University of Science and Technology, Wuhan, China

Funder

The National Natural Science Foundation of China

Publisher

ACM

Reference18 articles.

1. Automatic music transcription: challenges and future directions

2. Cheng Tian et al. "An attack/decay model for piano transcription." ISMIR 2016. Cheng Tian et al. "An attack/decay model for piano transcription." ISMIR 2016.

3. Suteparuk Potcharapol. "Detection of piano keys pressed in video." Dept. of Comput. Sci. Stanford Univ. Stanford CA USA Tech. Rep (2014). Suteparuk Potcharapol. "Detection of piano keys pressed in video." Dept. of Comput. Sci. Stanford Univ. Stanford CA USA Tech. Rep (2014).

4. Akbari Mohammad and Howard Cheng. "Clavision: visual automatic piano music transcription." NIME. 2015. Akbari Mohammad and Howard Cheng. "Clavision: visual automatic piano music transcription." NIME. 2015.

5. Real-Time Piano Music Transcription Based on Computer Vision

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