Automatic Construction of Synthetic Musical Instruments and Performers
This thesis describes an approach to create high-quality music synthesis by automatically constructing an instrument model and a performance model; the latter module generates control signals from score input and drives the former module to produce synthetic instrumental sounds. By designing and app...
Main Author: | |
---|---|
Format: | Others |
Published: |
Research Showcase @ CMU
2013
|
Subjects: | |
Online Access: | http://repository.cmu.edu/dissertations/270 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1266&context=dissertations |
id |
ndltd-cmu.edu-oai-repository.cmu.edu-dissertations-1266 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-cmu.edu-oai-repository.cmu.edu-dissertations-12662014-07-24T15:36:15Z Automatic Construction of Synthetic Musical Instruments and Performers Hu, Ning This thesis describes an approach to create high-quality music synthesis by automatically constructing an instrument model and a performance model; the latter module generates control signals from score input and drives the former module to produce synthetic instrumental sounds. By designing and applying appropriate machine learning techniques as well as domain knowledge, the instrument model and the performance model are constructed from acoustic examples and their corresponding scores for a musical instrument. The automated model is able to synthesize realistic instrumental performances from scores. 2013-07-01T07:00:00Z text application/pdf http://repository.cmu.edu/dissertations/270 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1266&context=dissertations Dissertations Research Showcase @ CMU Computer Music Musical Instrument Synthesis Machine Learning Computer Sciences |
collection |
NDLTD |
format |
Others
|
sources |
NDLTD |
topic |
Computer Music Musical Instrument Synthesis Machine Learning Computer Sciences |
spellingShingle |
Computer Music Musical Instrument Synthesis Machine Learning Computer Sciences Hu, Ning Automatic Construction of Synthetic Musical Instruments and Performers |
description |
This thesis describes an approach to create high-quality music synthesis by automatically constructing an instrument model and a performance model; the latter module generates control signals from score input and drives the former module to produce synthetic instrumental sounds. By designing and applying appropriate machine learning techniques as well as domain knowledge, the instrument model and the performance model are constructed from acoustic examples and their corresponding scores for a musical instrument. The automated model is able to synthesize realistic instrumental performances from scores. |
author |
Hu, Ning |
author_facet |
Hu, Ning |
author_sort |
Hu, Ning |
title |
Automatic Construction of Synthetic Musical Instruments and Performers |
title_short |
Automatic Construction of Synthetic Musical Instruments and Performers |
title_full |
Automatic Construction of Synthetic Musical Instruments and Performers |
title_fullStr |
Automatic Construction of Synthetic Musical Instruments and Performers |
title_full_unstemmed |
Automatic Construction of Synthetic Musical Instruments and Performers |
title_sort |
automatic construction of synthetic musical instruments and performers |
publisher |
Research Showcase @ CMU |
publishDate |
2013 |
url |
http://repository.cmu.edu/dissertations/270 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1266&context=dissertations |
work_keys_str_mv |
AT huning automaticconstructionofsyntheticmusicalinstrumentsandperformers |
_version_ |
1716709412593205248 |