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 20):
At least one computer readable medium comprising a plurality of instructions that in response to being executed on a computing device, causes the computing device to operate by:\n obtaining a valid indicator that indicates a change in at least one threshold level along an input speech signal and from a previous representative value of the input speech to a next sample of the input speech signal, and obtaining a shift indicator that 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 depending on a value of the valid indicator, using at least one modified mel-frequency coefficient of a FIR filter to form filter outputs to be used to recognize speech in the input speech signal, wherein the FIR filter is arranged to modify the mel-frequency coefficient(s) by using the shift indicator.

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): 0.2594191567271859
- 35 USC 102 Novelty (BERT): 0.4906777663030957
- Combined Prediction Score: 0.2825450176847769
- Mean Citation Score: 180.253514
- Max Citation Score: 195.39368
- Similarity Product: 127.52913549269677

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

Dataset: test