PATENT CLAIM ANALYSIS

Application Number: 15758747
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-01
Patent Classification: ["704", "233000"]

Abstract:
A sound signal processing method and device are provided for separating sounds of the respective sound sources even when sounds are recorded asynchronously by a plurality of devices. Specifically, the present invention comprises the steps of instructing each of the plurality of devices to output a reference signal of a different frequency, receiving each of the reference signals output from the speaker of the plurality of devices according to the instruction, receiving sound signals in which each of the reference signals output from the speaker of the plurality of devices is input into the microphone of the plurality of devices, calculating a time shift amount of each of the devices based on each of the received reference signals output from the speaker and the received sound signals, and separating the plurality of signal signals input into the microphone of the plurality of devices based on the calculated time shift amount.

Claim (Index 4):
The sound signal processing method according to  claim 2 ,\n wherein the separation performance of the sound signals is evaluated by using a degree of similarity or a correlation coefficient between the separated sound signals.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 90.0
- Lexical Diversity: 2.7069
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11990200', '13446491', '15025975', '12480194', '12661635']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2915215525255183
- 35 USC 102 Novelty (BERT): 0.4798876146582221
- Combined Prediction Score: 0.3103581587387887
- Mean Citation Score: 191.926642
- Max Citation Score: 196.71243
- Similarity Product: 147.44066340358972

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test