18148358. END-TO-END NEUROMORPHIC ACOUSTIC PROCESSING simplified abstract (Intel Corporation)
Contents
END-TO-END NEUROMORPHIC ACOUSTIC PROCESSING
Organization Name
Inventor(s)
Kuba Tomasz Lopatka of Gdansk (PL)
Katarzyna J. Kaszuba-miotke of Gdynia (PL)
Karol Jan Polec of Gdansk (PL)
END-TO-END NEUROMORPHIC ACOUSTIC PROCESSING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18148358 titled 'END-TO-END NEUROMORPHIC ACOUSTIC PROCESSING
The abstract describes a patent application for a neuromorphic processing device that utilizes a spike generator to process acoustic signal data and implement a spiking neural network for acoustic recognition tasks.
- Simplified Explanation:
- A neuromorphic processing device uses a spike generator to process acoustic signals and implement a spiking neural network for acoustic recognition tasks.
- Key Features and Innovation:
- Spike generator generates input spikes based on acoustic signal data. - Neuromorphic compute block implements a spiking neural network (SNN). - SNN receives input spikes and generates output spikes for acoustic recognition tasks.
- Potential Applications:
- Speech recognition systems - Voice-controlled devices - Acoustic event detection
- Problems Solved:
- Efficient processing of acoustic signals - Real-time acoustic recognition tasks
- Benefits:
- Improved accuracy in acoustic recognition - Faster processing of acoustic data - Reduced power consumption compared to traditional methods
- Commercial Applications:
- Potential use in smart speakers, virtual assistants, and IoT devices for enhanced acoustic recognition capabilities.
- Questions about Neuromorphic Processing Device:
1. How does the spike generator process acoustic signal data? - The spike generator uses hardware to generate a set of input spikes based on the acoustic signal data received from a microphone.
2. What is the role of the neuromorphic compute block in the device? - The neuromorphic compute block implements a spiking neural network (SNN) to receive the input spikes and generate output spikes for acoustic recognition tasks.
Original Abstract Submitted
A neuromorphic processing device includes a spike generator including hardware to generate a set of input spikes based on acoustic signal data generated by a microphone of a computing device. The neuromorphic processing device further includes a neuromorphic compute block to implement a spiking neural network (SNN), receive the set of input spikes as an input to the SNN, and generate a set of output spikes from the SNN based on the input. A result for an acoustic recognition task may be determined based on the set of output spikes.
