TY - JOUR
T1 - Audio key finding
T2 - Considerations in system design and case studies on Chopin's 24 preludes
AU - Chuan, Ching Hua
AU - Chew, Elaine
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2007
Y1 - 2007
N2 - We systematically analyze audio key finding to determine factors important to system design, and the selection and evaluation of solutions. First, we present a basic system, fuzzy analysis spiral array center of effect generator algorithm, with three key determination policies: nearest-neighbor (NN), relative distance(RD), and average distance (AD). AD achieved a 79% accuracy rate in an evaluation on 410 classical pieces, more than 8%higher RD and NN. We show why audio key finding sometimes outperforms symbolic key finding. We next propose three extensions to the basic key finding system - the modified spiral array (mSA),fundamental frequency identification (F0), and post-weight balancing (PWB) - to improve performance, with evaluations using Chopin's Preludes (Romantic repertoire was the most challenging).F0 provided the greatest improvement in the first 8 seconds, while mSA gave the best performance after 8 seconds. Case studies examine when all systems were correct, or all incorrect.
AB - We systematically analyze audio key finding to determine factors important to system design, and the selection and evaluation of solutions. First, we present a basic system, fuzzy analysis spiral array center of effect generator algorithm, with three key determination policies: nearest-neighbor (NN), relative distance(RD), and average distance (AD). AD achieved a 79% accuracy rate in an evaluation on 410 classical pieces, more than 8%higher RD and NN. We show why audio key finding sometimes outperforms symbolic key finding. We next propose three extensions to the basic key finding system - the modified spiral array (mSA),fundamental frequency identification (F0), and post-weight balancing (PWB) - to improve performance, with evaluations using Chopin's Preludes (Romantic repertoire was the most challenging).F0 provided the greatest improvement in the first 8 seconds, while mSA gave the best performance after 8 seconds. Case studies examine when all systems were correct, or all incorrect.
UR - http://www.scopus.com/inward/record.url?scp=33846220763&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33846220763&partnerID=8YFLogxK
U2 - 10.1155/2007/56561
DO - 10.1155/2007/56561
M3 - Article
AN - SCOPUS:33846220763
VL - 2007
JO - Eurasip Journal on Advances in Signal Processing
JF - Eurasip Journal on Advances in Signal Processing
SN - 1687-6172
M1 - 56561
ER -