PATENT CLAIM ANALYSIS

Application Number: 15924887
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["704", "500000"]

Abstract:
An autocorrelation calculating part calculates autocorrelation R o (i) from an input signal. A predictive coefficient calculating part performs linear predictive analysis using modified autocorrelation. R′ o (i) obtained by multiplying the autocorrelation R o (i) by a coefficient w o (i). Here, a case is comprised where, for at least part of each order i, the coefficient w o (i) corresponding to each order i monotonically decreases as a value having positive correlation with a pitch gain in an input signal of a current frame or a past frame increases.

Claim (Index 1):
A linear predictive analysis method for obtaining a coefficient which can be converted into a linear predictive coefficient corresponding to an input time series signal for each frame which is a predetermined time interval, the linear predictive analysis method comprising:\n an autocorrelation calculating step of calculating autocorrelation R o (i) between an input time series signal X o (n) of a current frame and an input time series signal X o (n\u2212i) i sample before the input time series signal X o (n) or an input time series signal X o (n+i) i sample after the input time series signal X o  (n) for each of at least i=0, 1, . . . , P max ; and a predictive coefficient calculating step of obtaining a coefficient which can be converted into linear predictive coefficients from the first-order to the P max -order using modified autocorrelation R\u2032 o (i) obtained by multiplying the autocorrelation R o (i) by a coefficient w o (i) for each corresponding i, wherein the linear predictive analysis method further comprises a coefficient determining step of acquiring the coefficient w o (i) from one coefficient table among two or more coefficient tables using a value having positive correlation with intensity of periodicity of an input time series signal of the current frame or a past frame or a pitch gain based on the input time series signal assuming that coefficients w o (i) are stored in each of the two or more coefficient tables, among the two or more coefficient tables, a coefficient table from which the coefficient w o (i) is acquired in the coefficient determining step when the value having positive correlation with the intensity of the periodicity or the pitch gain is a first value is set as a first coefficient table, among the two or more coefficient tables, a coefficient table from which the coefficient w o (i) is acquired in the coefficient determining step when the value having positive correlation with the intensity of the periodicity or the pitch gain is a second value which is smaller than the first value is set as a second coefficient table, and for at least part of each order i, a coefficient corresponding to the each order i in the second coefficient table is greater than a coefficient corresponding to the each order i in the first coefficient table.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 90.0
- Lexical Diversity: 1.8
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15924963', '15889684', '15889748', '15889775', '15112534']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3751012276421311
- 35 USC 102 Novelty (BERT): 0.5886868071393252
- Combined Prediction Score: 0.3964597855918506
- Mean Citation Score: 479.277196
- Max Citation Score: 493.55237
- Similarity Product: 490.0698067031252

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