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US 2022/0190943 A1Published application
High-resolution radio using neural networks
AssigneeGM Global Technology Operations LLC
InventorsJoseph Kampeas, Igal Kotzer
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Abstract
An apparatus and method for enhancing broadcast radio includes a DNN trained on data sets of audio created from a synthesized broadcasting process and original source audio. Broadcast radio signals are received at a radio module and processed through the DNN to produce enhanced audio.
Claims20
An apparatus, comprising:
- a radio module comprising a receiver module and a DNN module;
- the receiver module comprising a digital audio signal output having no audio content above a predetermined broadcast cutoff frequency;
- and
- the DNN module comprising an input receiving the digital audio signal output and an output comprising reconstructed audio comprising audio content above the predetermined broadcast cutoff frequency.
1 more element
A method, comprising:
- training a DNN module on a first data set of synthesized audio created through a synthesized broadcasting processor and on a second data set comprising source material audio;
- receiving, at a receiver module, a broadcast signal and providing therefrom a digital audio signal output having no audio content above a broadcast cutoff frequency;
- and
- processing, at the DNN module, the digital signal output from the receiver module to reconstruct audio comprising audio content above the broadcast cutoff frequency.
1 more element
An apparatus, comprising:
- an FM radio module comprising an FM receiver module;
- the FM receiver module comprising an audio signal output having no audio content above a predetermined broadcast cutoff frequency;
- a DNN module trained on a first data set of synthesized audio created through a synthesized FM broadcasting processor and a second data set of source material audio;
- and
- the DNN module comprising an input receiving the audio signal output and an output comprising reconstructed audio content above the predetermined broadcast cutoff frequency.
2 more elements
Dependencies are inferred from the claim text.