Author : Gregory D. Burlet
Publisher :
ISBN 13 :
Total Pages : 125 pages
Book Rating : 4.:/5 (959 download)
Book Synopsis Guitar Tablature Transcription Using a Deep Belief Network by : Gregory D. Burlet
Download or read book Guitar Tablature Transcription Using a Deep Belief Network written by Gregory D. Burlet and published by . This book was released on 2015 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: Music transcription is the process of extracting the pitch and timing of notes that occur in an audio recording and writing the results as a music score, commonly referred to as sheet music. Manually transcribing audio recordings is a difficult and time-consuming process, even for experienced musicians. In response, several algorithms have been proposed to automatically analyze and transcribe the notes sounding in an audio recording; however, these algorithms are often general-purpose, attempting to process any number of instruments producing any number of notes sounding simultaneously. This work presents a transcription algorithm that is constrained to processing the audio output of a single instrument, specifically an acoustic guitar. The transcription system consists of a novel note pitch estimation algorithm that uses a deep belief network and multi-label learning techniques to generate multiple pitch estimates for each segment of the input audio signal. Using a compiled dataset of synthesized guitar recordings for evaluation, the algorithm described in this work results in a 12% increase in the f-measure of note transcriptions relative to a state-of-the-art algorithm in the literature. This thesis demonstrates the effectiveness of deep, multi-label learning for the task of guitar audio transcription.
