Towards Automatic Expressive Pipa Music Transcription Using Morphological Analysis of Photoelectric Signals
The musical signal produced by plucked instruments often exhibits non-stationarity due to variations in the pitch and amplitude, making pitch estimation a challenge. In this paper, we assess different transcription processes and algorithms applied to signals captured by optical sensors mounted on a...
Saved in:
| Main Authors: | Yuancheng Wang, Xuanzhe Li, Yunxiao Zhang, Qiao Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/5/1361 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
PipaSet and TEAS: A Multimodal Dataset and Annotation Platform for Automatic Music Transcription and Expressive Analysis Dedicated to Chinese Traditional Plucked String Instrument Pipa
by: Yuancheng Wang, et al.
Published: (2022-01-01) -
Redefining Musical Creativity: The Pipa Solo Tradition in Republican China and During the Mao Era
by: Ho Chak Law
Published: (2022-12-01) -
Optimal Design of Photoelectric Rotating-speed Sensor at Axle End of Locomotive
by: WU Cheng-shu, et al.
Published: (2013-01-01) -
Orta Asya’da Türk-Çin Kültürel Etkileşim Sürecinde Çalgılar ve Pipa
by: Funda Esin
Published: (2025-04-01) -
STAR Drums: A Dataset for Automatic Drum Transcription
by: Philipp Weber, et al.
Published: (2025-07-01)