Abstract: An audio signal processing graph is automatically recomposed to optimize its properties by reassigning and instantiating its nodes on available locales such that the number of inter-locale connections is minimized and latency between inputs, such a performer's live input, and outputs, such as a monitored recording mix, is minimized. The recomposition exploits associative, commutative, and decomposition properties of certain node types, including mixer nodes. A graph recomposition may decompose a mixer node into a first stage instantiated by a software plug-in hosted by a computer running a digital audio workstation in a first locale, and a second stage assigned to an audio processing device in a second locale. Automatic signal graph recomposition occurs when the system is initialized, the graph is reconfigured, a new desired behavior of the graph is specified, or the available network resources are changed.

Abstract: An audio signal processing graph is automatically recomposed to optimize its properties by reassigning and instantiating its nodes on available locales such that the number of inter-locale connections is minimized and latency between inputs, such a performer's live input, and outputs, such as a monitored recording mix, is minimized. The recomposition exploits associative, commutative, and decomposition properties of certain node types, including mixer nodes. A graph recomposition may decompose a mixer node into a first stage instantiated by a software plug-in hosted by a computer running a digital audio workstation in a first locale, and a second stage assigned to an audio processing device in a second locale. Automatic signal graph recomposition occurs when the system is initialized, the graph is reconfigured, a new desired behavior of the graph is specified, or the available network resources are changed.

Abstract: An audio signal processing graph is automatically recomposed to optimize its properties by reassigning and instantiating its nodes on available locales such that the number of inter-locale connections is minimized and latency between inputs, such a performer's live input, and outputs, such as a monitored recording mix, is minimized. The recomposition exploits associative, commutative, and decomposition properties of certain node types, including mixer nodes. A graph recomposition may decompose a mixer node into a first stage instantiated by a software plug-in hosted by a computer running a digital audio workstation in a first locale, and a second stage assigned to an audio processing device in a second locale. Automatic signal graph recomposition occurs when the system is initialized, the graph is reconfigured, a new desired behavior of the graph is specified, or the available network resources are changed.

Abstract: An audio signal processing graph is automatically recomposed to optimize its properties by reassigning and instantiating its nodes on available locales such that the number of inter-locale connections is minimized and latency between inputs, such a performer's live input, and outputs, such as a monitored recording mix, is minimized. The recomposition exploits associative, commutative, and decomposition properties of certain node types, including mixer nodes. A graph recomposition may decompose a mixer node into a first stage instantiated by a software plug-in hosted by a computer running a digital audio workstation in a first locale, and a second stage assigned to an audio processing device in a second locale. Automatic signal graph recomposition occurs when the system is initialized, the graph is reconfigured, a new desired behavior of the graph is specified, or the available network resources are changed.