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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Hauptverfasser: Jensen, Carl Ralph, Tengelsen, Daniel Ross, Lyons, Kenneth Scott, Adkins, Sara Maree, Eichfeld, Jahn Dmitri, Stamenovic, Marko, Yang, Li-Chia
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creator Jensen, Carl Ralph
Tengelsen, Daniel Ross
Lyons, Kenneth Scott
Adkins, Sara Maree
Eichfeld, Jahn Dmitri
Stamenovic, Marko
Yang, Li-Chia
description 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.
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subjects ACOUSTICS
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
title AUDIO PROCESSING USING DISTRIBUTED MACHINE LEARNING MODEL
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