AUDIO PROCESSING USING DISTRIBUTED MACHINE LEARNING MODEL

Various implementations include systems for processing audio signals. In particular implementations, a system for processing audio signals includes: an accessory device that includes a first processor for running a machine learning model on an input signal, where the machine learning model includes...

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Bibliographische Detailangaben
Hauptverfasser:	LYONS, Kenneth, Scott, YANG, Li-Chia, ADKINS, Sara, Maree, TENGELSEN, Daniel, Ross, EICHFELD, Jahn, Dmitri, JENSEN, Carl, Ralph, STAMENOVIC, Marko
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	ACOUSTICS CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DEAF-AID SETS ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKEACOUSTIC ELECTROMECHANICAL TRANSDUCERS MUSICAL INSTRUMENTS PHYSICS PUBLIC ADDRESS SYSTEMS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION
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Beschreibung
Zusammenfassung:	Various implementations include systems for processing audio signals. In particular implementations, a system for processing audio signals includes: an accessory device that includes a first processor for running a machine learning model on an input signal, where the machine learning model includes a classifier configured to generate metadata associated with the input signal; and a wearable audio device configured for wireless communication with the accessory device, the wearable audio device including a second processor that utilizes the metadata from the accessory device to process a source audio signal and output a processed audio signal.