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 5):
The target speech signal extraction method according to  claim 4 ,\n wherein the generalized gaussian distribution has a varying variance with regard to time-frequency or one of time and frequency, and wherein the (e) includes of updating the varying variance \u03bb and the adaptive vector w(k) alternately, and estimating the target speech signal by using the updated varying variance and the adaptive vector.

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): 0.2910096873073892
- 35 USC 102 Novelty (BERT): 0.5065312976824523
- Combined Prediction Score: 0.3125618483448955
- Mean Citation Score: 210.335154
- Max Citation Score: 246.26193
- Similarity Product: 155.4798426784283

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