Automatic Melody Transcription based on Chord Transcription
نویسنده
چکیده
This paper focuses on automatic melody transcription in a situation where a chord transcription is already available. Given an excerpt of music in audio form and a chord transcription in symbolic form, the task is to create a symbolic melody transcription that consists of note onset times and pitches. We present an algorithm that divides the audio into segments based on the chord transcription, and then matches potential melody patterns to each segment. The algorithm uses chord information to favor melody patterns that are probable in the given harmony context. To evaluate the algorithm, we present a new ground truth dataset that consists of 1,5 hours of audio excerpts together with hand-made melody and chord transcriptions.
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