<p>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.</p
David Samuel We propose a generative model for artificial composition of both classical and popular ...
This dissertation describes a new method of computer performance of bowed string instruments (violin...
Abstract:- As part of a general scheme for automatic orchestration for human instrumentalists this p...
Main topic of the thesis is musical composition by means of computer, specifically usage of neural n...
Convincing synthesis of wind instruments requires more than the reproduction of individual tones. Si...
This Dissertation is brought to you for free and open access by the Theses and Dissertations at Rese...
Practicing musical instruments can be experienced as repetitive and boring and is often a major barr...
A deformable musical instrument can take numerous dis- tinct shapes with its non-rigid features. Bui...
This paper presents a multidisciplinary case study of practice with machine learning for computer mu...
We present a machine learning approach to automatically generate expressive (ornamented) jazz perfor...
We present a machine learning approach to automatically generate expressive (ornamented) jazz perfor...
This paper presents an application and extension of the ml.* library, implementing machine learning ...
In this chapter, I discuss how machine learning algorithms can shape the design of new instruments. ...
Research applying machine learning to music modeling and generation typically proposes model archite...
Machines have the power and potential to make expressive music on their own. This thesis aims to com...
David Samuel We propose a generative model for artificial composition of both classical and popular ...
This dissertation describes a new method of computer performance of bowed string instruments (violin...
Abstract:- As part of a general scheme for automatic orchestration for human instrumentalists this p...
Main topic of the thesis is musical composition by means of computer, specifically usage of neural n...
Convincing synthesis of wind instruments requires more than the reproduction of individual tones. Si...
This Dissertation is brought to you for free and open access by the Theses and Dissertations at Rese...
Practicing musical instruments can be experienced as repetitive and boring and is often a major barr...
A deformable musical instrument can take numerous dis- tinct shapes with its non-rigid features. Bui...
This paper presents a multidisciplinary case study of practice with machine learning for computer mu...
We present a machine learning approach to automatically generate expressive (ornamented) jazz perfor...
We present a machine learning approach to automatically generate expressive (ornamented) jazz perfor...
This paper presents an application and extension of the ml.* library, implementing machine learning ...
In this chapter, I discuss how machine learning algorithms can shape the design of new instruments. ...
Research applying machine learning to music modeling and generation typically proposes model archite...
Machines have the power and potential to make expressive music on their own. This thesis aims to com...
David Samuel We propose a generative model for artificial composition of both classical and popular ...
This dissertation describes a new method of computer performance of bowed string instruments (violin...
Abstract:- As part of a general scheme for automatic orchestration for human instrumentalists this p...