Sound identification utilizing periodic indications
First Claim
1. A computer-implemented method performed by a speech recognition system having at least a processor, the method comprising:
- estimating, by the processor, sound identification information from a neural network having periodic indications and components of a frequency spectrum of an audio signal data inputted thereto; and
performing, by the processor, a speech recognition operation on the audio signal data to decode the audio signal data into a textual representation based on the estimated sound identification information,wherein the neural network includes a plurality of fully-connected network layers having a first layer that includes a plurality of first nodes and a plurality of second nodes, and wherein the method further comprises training the neural network by initially isolating the periodic indications from the components of the frequency spectrum in the first layer by setting weights between the first nodes and a plurality of input nodes corresponding to the periodic indications to 0.
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Abstract
A computer-implemented method is provided. The computer-implemented method is performed by a speech recognition system having at least a processor. The method includes estimating sound identification information from a neural network having periodic indications and components of a frequency spectrum of an audio signal data inputted thereto. The method further includes performing a speech recognition operation on the audio signal data to decode the audio signal data into a textual representation based on the estimated sound identification information. The neural network includes a plurality of fully-connected network layers having a first layer that includes a plurality of first nodes and a plurality of second nodes. The method further comprises training the neural network by initially isolating the periodic indications from the components of the frequency spectrum in the first layer by setting weights between the first nodes and a plurality of input nodes corresponding to the periodic indications to 0.
19 Citations
20 Claims
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1. A computer-implemented method performed by a speech recognition system having at least a processor, the method comprising:
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estimating, by the processor, sound identification information from a neural network having periodic indications and components of a frequency spectrum of an audio signal data inputted thereto; and performing, by the processor, a speech recognition operation on the audio signal data to decode the audio signal data into a textual representation based on the estimated sound identification information, wherein the neural network includes a plurality of fully-connected network layers having a first layer that includes a plurality of first nodes and a plurality of second nodes, and wherein the method further comprises training the neural network by initially isolating the periodic indications from the components of the frequency spectrum in the first layer by setting weights between the first nodes and a plurality of input nodes corresponding to the periodic indications to 0. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A non-transitory computer program product having instructions embodied therewith, the instructions executable by a speech recognition system that includes a processor or programmable circuitry to cause the processor or programmable circuitry to perform a method comprising:
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estimating sound identification information from a neural network having periodic indications and components of a frequency spectrum of an audio signal data inputted thereto; and performing a speech recognition operation on the audio signal data to decode the audio signal data into a textual representation based on the estimated sound identification information, wherein the neural network includes a plurality of fully-connected network layers having a first layer that includes a plurality of first nodes and a plurality of second nodes, and wherein the method further comprises training the neural network by initially isolating the periodic indications from the components of the frequency spectrum in the first layer by setting weights between the first nodes and a plurality of input nodes corresponding to the periodic indications to 0. - View Dependent Claims (18, 19)
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20. A speech recognition system, comprising:
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a processor; and one or more computer readable mediums collectively including instructions that, when executed by the processor, cause the processor to; estimate sound identification information from a neural network having periodic indications and components of a frequency spectrum of an audio signal data inputted thereto; and perform a speech recognition operation on the audio signal data to decode the audio signal data into a textual representation based on the estimated sound identification information, wherein the neural network is trained by initially isolating the periodic indications from the components of the frequency spectrum in the first layer by setting weights between the first nodes and a plurality of input nodes corresponding to the periodic indications to 0.
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Specification