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 14):
A computer-implemented feature extraction system for automatic speech recognition comprising:\n at least one processor; memory communicatively coupled to the at least one processor; at least one mel-frequency finite impulse response (FIR) filter operated by the at least one processor and arranged to obtain audio data of an acoustic input signal, the audio data including human speech, and the mel-frequency FIR filter outputting sums of modified mel-frequency coefficients; and an accumulator unit to perform a Parseval Theorem-related energy operation comprising using the filter outputs to form intermediate coefficients to be used to form mel-frequency spectrum coefficients (MFSCs) or mel-frequency cepstrum coefficients (MFCCs) to be used to recognize words in the speech.

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): 0.2623330268132627
- 35 USC 102 Novelty (BERT): 0.4757572366738424
- Combined Prediction Score: 0.2836754477993207
- Mean Citation Score: 180.253514
- Max Citation Score: 195.39368
- Similarity Product: 148.81358871869563

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

Dataset: test