Energy efficient custom deep learning circuits for always-on embedded applications

A system can include a circuit holistically customized for the detection of commands in an audio or video input signal to meet certain application-specific requirements. The circuit can have a neural network topology that is hardwired to perform detection based on application-specific detection crit...

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Bibliographische Detailangaben
Hauptverfasser:	Elkhatib, Mouna, Benyassine, Adil
Format:	Patent
Sprache:	eng
Schlagworte:	ACOUSTICS BASIC ELECTRONIC CIRCUITRY CALCULATING CODE CONVERSION IN GENERAL CODING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DECODING ELECTRICITY MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION
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Beschreibung
Zusammenfassung:	A system can include a circuit holistically customized for the detection of commands in an audio or video input signal to meet certain application-specific requirements. The circuit can have a neural network topology that is hardwired to perform detection based on application-specific detection criteria. The hardwired custom circuit can provide improved energy efficiencies compared to similar functionality carried out using software and generic hardware modules. The system can also include a sound change trigger module and perform non-voiced sound detection.