bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0363591 |
utime |
20240103195449.9 |
mtime |
20110913235959.9 |
title
(primary) (eng) |
Model for Memory-based Music Transcription and its Variational Bayes solution |
specification |
page_count |
4 s. |
media_type |
www |
|
serial |
ARLID |
cav_un_epca*0372916 |
ISSN |
2076-1465 |
title
|
EUSIPCO 2011: 19th European Signal Processing Conference |
page_num |
1-4 |
publisher |
place |
Barcelona |
name |
EURASIP |
year |
2011 |
|
|
keyword |
music transcription |
keyword |
Variational Bayes |
keyword |
blind source separation |
author
(primary) |
ARLID |
cav_un_auth*0254098 |
name1 |
Albrecht |
name2 |
Š. |
country |
CZ |
|
author
|
ARLID |
cav_un_auth*0101207 |
name1 |
Šmídl |
name2 |
Václav |
full_dept (cz) |
Adaptivní systémy |
full_dept |
Department of Adaptive Systems |
department (cz) |
AS |
department |
AS |
institution |
UTIA-B |
full_dept |
Department of Adaptive Systems |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
research |
CEZ:AV0Z10750506 |
abstract
(eng) |
The problem of memory based music transcription is considered and a probabilistic model for polyphonic music is proposed. Parameters of the model correspond to labels of the pre-recorded sounds and their amplitudes. Since exact estimation of the parameters is computationally prohibitive, we develop an approximate estimation algorithm using the Variational Bayes approximation. Results of the proposed algorithm are compared to alternative algorithms on piano recordings. |
action |
ARLID |
cav_un_auth*0274046 |
name |
19th European Signal Processing Conference |
place |
Barcelona |
dates |
29.08.2011-02.09.2011 |
country |
ES |
|
reportyear |
2012 |
RIV |
BD |
permalink |
http://hdl.handle.net/11104/0199350 |
arlyear |
2011 |
mrcbU63 |
cav_un_epca*0372916 EUSIPCO 2011: 19th European Signal Processing Conference 2076-1465 1 4 Barcelona EURASIP 2011 |
|