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US 12,744,049 B2Granted
Audio upsampling using one or more neural networks
AssigneeNVIDIA Corporation
InventorsMihir Nyayate, Ambrish Dantrey
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Abstract
Apparatuses, systems, and techniques are presented to upsample audio. In at least one embodiment, one or more neural networks are used to determine one or more second frequencies of one or more audio signals based, at least in part, on only one or more first frequencies of the one or more audio signals.
Claims31
A processor, comprising:
- one or more circuits to use one or more neural networks to generate one or more second frequencies of one or more audio signals based, at least in part, on one or more first frequencies of the one or more audio, wherein the one or more neural networks include a first path including a gated recurrent unit (GRU) neural network layer and a parallel, second path including one or more convolution layers.
A system, comprising:
- one or more processors to use one or more neural networks to generate one or more second frequencies of one or more audio signals based, at least in part, on one or more first frequencies of the one or more audio signals, wherein the one or more neural networks include a first path including a gated recurrent unit (GRU) neural network layer and a parallel, second path including one or more convolution layers.
A method, comprising:
- using one or more neural networks to generate one or more second frequencies of one or more audio signals based, at least in part, on one or more first frequencies of the one or more audio signals, wherein the one or more neural networks include a first path including a gated recurrent unit (GRU) neural network layer and a parallel, second path including one or more convolution layers.
A non-transitory machine-readable medium having stored thereon a set of instructions, which if performed by one or more processors, cause the one or more processors to at least:
- use one or more neural networks to generate one or more second frequencies of one or more audio signals based, at least in part, on one or more first frequencies of the one or more audio signals, wherein the one or more neural networks include a first path including a gated recurrent unit (GRU) neural network layer and a parallel, second path including one or more convolution layers.
An audio upsampling system, comprising:
- one or more processors to use one or more neural networks to generate one or more second frequencies of one or more audio signals based, at least in part, on one or more first frequencies of the one or more audio signals, wherein the one or more neural networks include a first path including a gated recurrent unit (GRU) neural network layer and a parallel, second path including one or more convolution layers;
- and
- memory for storing parameters for the one or more neural networks.
Dependencies are inferred from the claim text.