PATENT CLAIM ANALYSIS

Application Number: 16181798
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["704", "227000"]

Abstract:
Provided is a target speech signal extraction method for robust speech recognition including: (a) receiving information on a direction of arrival of the target speech source with respect to the microphones; (b) generating a nullformer by using the information on the direction of arrival of the target speech source to remove the target speech signal from the input signals and to estimate noise; (c) setting a real output of the target speech source using an adaptive vector w(k) as a first channel and setting a dummy output by the nullformer as a remaining channel; (d) setting a cost function for minimizing dependency between the real output of the target speech source and the dummy output using the nullformer by performing independent component analysis (ICA); and (e) estimating the target speech signal by using the cost function, thereby extracting the target speech signal from the input signals.

Claim (Index 4):
The target speech signal extraction method according to  claim 1 ,\n wherein a probability density function of the cost function is modeling by a generalized Gaussian distribution.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 98.0
- Lexical Diversity: 2.3662
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12242819', '15457694', '15827160', '16003396', '10537985']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.292489437227182
- 35 USC 102 Novelty (BERT): 0.4985353972084849
- Combined Prediction Score: 0.3130940332253124
- Mean Citation Score: 210.335154
- Max Citation Score: 246.26193
- Similarity Product: 175.65229108328106

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test