An image analysis approach for transcription of music played on keyboard-like instruments

Souvik Deb, Ajit V. Rajwade
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引用次数: 4

Abstract

Music transcription refers to the process of analyzing a piece of music to generate a sequence of constituent notes and their duration. Transcription of music from audio signals is fraught with problems due to auditory interference such as ambient noise, multiple instruments playing simultaneously, accompanying vocals or polyphonic sounds. For several instruments, there exists added information for music transcription which can be derived from a video sequence of the instrument as it is being played. This paper proposes a method to utilize this visual information for the case of keyboard-like instruments to generate a transcript automatically, by analyzing the video frames. We present encouraging results under varying lighting conditions on different song sequences played out on a keyboard.
一种图像分析方法,用于在类似键盘的乐器上演奏音乐的转录
音乐转录是指分析一段音乐,以产生一系列组成音符及其持续时间的过程。由于听觉干扰,如环境噪音、多乐器同时演奏、伴随人声或复调声,从音频信号中转录音乐充满了问题。对于一些乐器,存在额外的音乐转录信息,这些信息可以从乐器播放时的视频序列中获得。本文通过分析视频帧,提出了一种利用这种视觉信息自动生成文本的方法。我们提出了令人鼓舞的结果,在不同的照明条件下,不同的歌曲序列在键盘上播放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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