ABSTRACT
Since the 20th century, synthesizers and MIDI keyboards offer composers more convenient operation and a higher creative ceiling. However, traditional Chinese plucked instruments like the Pipa have only just begun to explore the realms of electronic music and automatic notation. This study focuses on the Pipa as the subject, aiming to design and implement a device that captures performance-related data while maintaining the original conditions of the instrument, and automatically transcribes this data into musical notation.This study presents a data collection module based on Arduino hardware. This design involves detection by making certain modifications to the instrument and connecting wires to the instrument's frets which achieves real-time detection of the performer's finger movements via a hardware loop, collecting performance data for transcription. This setup allows performer to record and preserve details of their performance, including the fingering and string values for each note played. Through extensive research on sensors and underlying theories, this study has essentially achieved an intelligent device for the automatic notation of plucked instrument performances. Furthermore, with further refinements, it can also be applied to more complex,technically rich musical compositions and more instruments in the future.
- Sonic Ladder Ltd, www.riffstation.com.Google Scholar
- Kong, Qiuqiang & Li, Bochen & Song, Xuchen & Wan, Yuan & Wang, Yuxuan. (2020). High-resolution Piano Transcription with Pedals by Regressing Onsets and Offsets Times.Google Scholar
- Rachel Bittner, “Meet Basic Pitch: Spotify's Open Source Audio-to-MIDI Converter”, https://engineering.atspotify.com/2022/06/meet-basic-pitch/, 2022.Google Scholar
- Bittner, Rachel & Bosch, Juan & Rubinstein, David & Meseguer-Brocal, Gabriel & Ewert, Sebastian. (2022). A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch Estimation.Google ScholarCross Ref
- Duke, Brian & Salgian, Andrea. (2019). Guitar Tablature Generation Using Computer Vision. 10.1007/978-3-030-33723-0_20.Google Scholar
- lady ada, “Adafruit CAP1188 Breakout”, https://learn.adafruit.com/adafruit-cap1188-breakout?view=all, 2014Google Scholar
Index Terms
- Intelligent Installation Design and Implementation of Automatic Performative Transcription for Plucked String Instrument
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