Apologies for cross posting.
Dear colleagues,
We are developing an Automatic Chord Progression Generation
System. This model makes use of a number of automatically
extracted music parameters, namely harmonic rhythm, harmonic
transitions and harmonic structures to characterize musical
styles. This model is then used by our autonomous algorithm to
generate symbolic chord progressions based on the characterized
style.
The main hypothesis of the proposed work is that the system is
able to learn style-based composition rules, and replicate them in
the generated progressions. The aim of this survey is to evaluate
if the style replication process is successfully performed and the
chord progression generated can be misled with the ones created by
real human composers.
It would be great if you could give your opinion in this very
short survey:
https://encuestas.uma.es/26719/lang-en
Thank you very much for your help,
Isabel
--
------------------------------------------------------------------------------------------
Dr. Isabel Barbancho
Profesora Titular de Universidad
E.T.S. Ingenieria Telecomunicacion
Dpt. Ingenieria de Comunicaciones
Universidad de Málaga
Campus de Teatinos s/n, E29071 Málaga, SPAIN
Phone: +34 952 13 25 87
e-mail: ibp@xxxxxxxxx
web page: http://webpersonal.uma.es/de/ibp/index.htm
------------------------------------------------------------------------------------------
WARNING ABOUT CONFIDENTIALITY. This message and its attachments
are
confidential and may also be privileged or protected by legal
rules.
If you are not the intended recipient please, notify us
immediately
and destroy or return the original to us. You should not copy this
message or use it for any purpose, nor disclose its content to any
other person.
--
------------------------------------------------------------------------------------------
Dr. Isabel Barbancho
Profesora Titular de Universidad
E.T.S. Ingenieria Telecomunicacion
Dpt. Ingenieria de Comunicaciones
Universidad de Málaga
Campus de Teatinos s/n, E29071 Málaga, SPAIN
Phone: +34 952 13 25 87
e-mail: ibp@xxxxxxxxx
web page: http://webpersonal.uma.es/de/ibp/index.htm
------------------------------------------------------------------------------------------
WARNING ABOUT CONFIDENTIALITY. This message and its attachments are
confidential and may also be privileged or protected by legal rules.
If you are not the intended recipient please, notify us immediately
and destroy or return the original to us. You should not copy this
message or use it for any purpose, nor disclose its content to any
other person.