PATENT CLAIM ANALYSIS

Application Number: 16022376
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-02
Patent Classification: ["704", "236000"]

Abstract:
A system, article, and method provide temporal-domain feature extraction for automatic speech recognition.

Claim (Index 1):
A computer-implemented method of feature extraction for automatic speech recognition, comprising:\n receiving an input speech signal; performing delta-modulation comprising:\n comparing a representative value of a sample of the input speech signal to upper and lower thresholds of multiple threshold levels; \n providing at least a valid indicator and a shift indicator as output of the delta-modulation, \n wherein the valid indicator indicates a change in at least one threshold level along the input speech signal from a previous representative value to the next sample, and \n wherein the shift indicator is a single value indicating the total amount of change in threshold levels including a change in multiple levels associated with the valid indicator and from the previous representative value to the next sample; and \n using the valid and shift indicators to form mel-frequency related coefficients to be used to recognize speech in the input speech signal.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 94.0
- Lexical Diversity: 1.06667
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['10173247', '10137633', '13392901', '13604721', '11970537']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.263231520798735
- 35 USC 102 Novelty (BERT): 0.4711856519840438
- Combined Prediction Score: 0.2840269339172659
- Mean Citation Score: 180.253514
- Max Citation Score: 195.39368
- Similarity Product: 155.34561888028617

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

Dataset: test