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 8):
The target speech signal extraction method according to  claim 1 ,\n wherein a time domain waveform y(k) of an estimated target speech signal is expressed by the following Mathematical Formula, and y \ue8a0 ( t ) = \u2211 \u03c4 \ue89e \u2211 k = 1 K \ue89e Y \ue8a0 ( \u03c4 , k ) \ue89e e j \ue89e \ue89e \u03c9 k \ue8a0 ( t - \u03c4 \ue89e \ue89e H ) wherein Y(k,\u03c4)=w(k)\u00d7(k,\u03c4), w(k) denotes an adaptive vector for generating a real output with respect to the target speech source, and k and \u03c4 denote a frequency bin number and a frame number, respectively.

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): 0.2917531628206593
- 35 USC 102 Novelty (BERT): 0.5025108696605033
- Combined Prediction Score: 0.3128289335046437
- Mean Citation Score: 210.335154
- Max Citation Score: 246.26193
- Similarity Product: 165.6231289853704

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