PATENT CLAIM ANALYSIS

Application Number: 16115676
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2020-01
Patent Classification: ["381", "074000"]

Abstract:
A computer-implemented method for restoring a wrapped audio signal comprising a plurality of digitised signal samples at respective sample times, the method comprising: estimating a sequence of corrections comprising a sequence of numerical values the estimating comprising, for each signal sample: applying, at the sample time, a numerical filter to each of a set of potential corrections to determine a filtered value associated with each set of potential integer corrections wherein the filter enhances the filtered value at sample times when a change in a degree of wrapping occurs relative to sample times when a change in degree of wrapping does not occur; determining a cumulative objective over a plurality of signal samples by accumulating objective values and determining a sequence by selecting for each sample time a correction from the set of potential corrections wherein the correction for each sample time are selected to optimise the cumulative objective.

Claim (Index 13):
A method as claimed in  claim 12 , wherein the calculation of the time dependent numerical filter is based on one more properties of one or more local regions of the wrapped audio signal, and wherein each local region comprises a plurality of digitised signal samples.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 96.0
- Lexical Diversity: 2.37879
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11139865', '15309223', '15399472', '15110928', '13750000']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6875989258142486
- 35 USC 102 Novelty (BERT): 0.4717121156070938
- Combined Prediction Score: 0.6660102447935331
- Mean Citation Score: 124.1926748
- Max Citation Score: 130.39224
- Similarity Product: 91.4223662491035

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

Dataset: test