How can we provide interfaces to synthesis algorithms thatwill allow us to manipulate timbre directly, using the sametimbre-words that are used by human musicians to communicate about timbre? This paper describes ongoingwork that uses machine learning methods (principally genetic algorithms and neural networks) to learn (1) to recognise timbral characteristics of sound and (2) to adjust timbral characteristics of existing synthesized sounds
In the past years, several hybridization techniques have been proposed to synthesize novel audio con...
PhDPeople can achieve rich musical expression through vocal sound { see for example human beatboxin...
International audienceExploring the many surprising facets of timbre through sound manipulations has...
How can we provide interfaces to synthesis algorithms that will allow us to manipulate timbre direct...
Synthesising timbres and changes to timbres from natural language descriptions is an interesting cha...
This paper describes a computer sound syn- thesis system, based on artificial neural networks, that ...
People can achieve rich musical expression through vocal sound { see for example human beatboxing, w...
In this paper, we present tiNNbre, a generative music prototype-system that reacts to timbre gesture...
Feature-based synthesis applies machine learning and signal processing methods to the development of...
Phonetic symbols describe movements of the vocal tract,tongue and lips, and are combined into comple...
In this article we describe a user-driven adaptive method to control the sonic response of digital m...
We present the Latent Timbre Synthesis, a new audio synthesis method using deep learning. The synthe...
Phonetic symbols describe movements of the vocal tract,tongue and lips, and are combined into comple...
In the past years, several hybridization techniques have been proposed to synthesize novel audio con...
In the past years, several hybridization techniques have been proposed to synthesize novel audio con...
In the past years, several hybridization techniques have been proposed to synthesize novel audio con...
PhDPeople can achieve rich musical expression through vocal sound { see for example human beatboxin...
International audienceExploring the many surprising facets of timbre through sound manipulations has...
How can we provide interfaces to synthesis algorithms that will allow us to manipulate timbre direct...
Synthesising timbres and changes to timbres from natural language descriptions is an interesting cha...
This paper describes a computer sound syn- thesis system, based on artificial neural networks, that ...
People can achieve rich musical expression through vocal sound { see for example human beatboxing, w...
In this paper, we present tiNNbre, a generative music prototype-system that reacts to timbre gesture...
Feature-based synthesis applies machine learning and signal processing methods to the development of...
Phonetic symbols describe movements of the vocal tract,tongue and lips, and are combined into comple...
In this article we describe a user-driven adaptive method to control the sonic response of digital m...
We present the Latent Timbre Synthesis, a new audio synthesis method using deep learning. The synthe...
Phonetic symbols describe movements of the vocal tract,tongue and lips, and are combined into comple...
In the past years, several hybridization techniques have been proposed to synthesize novel audio con...
In the past years, several hybridization techniques have been proposed to synthesize novel audio con...
In the past years, several hybridization techniques have been proposed to synthesize novel audio con...
PhDPeople can achieve rich musical expression through vocal sound { see for example human beatboxin...
International audienceExploring the many surprising facets of timbre through sound manipulations has...
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