PATENT CLAIM ANALYSIS

Application Number: 15924169
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["704", "236000"]

Abstract:
Relative Excitation Features, in all conditions, are far superior to conventional acoustic features like Mel-Frequency Cepstrum (MFC) and Perceptual Linear Prediction (PLP), and provide much more speaker-independence, channel-independence, and noise-immunity. Relative Excitation features are radically different than conventional acoustic features. Relative Excitation method doesn't try to model the speech-production or vocal tract shape, doesn't try to do deconvolution, and doesn't utilize LP (Linear Prediction) and Cepstrum techniques. This new feature set is completely related to human hearing. The present invention is inspired by the fact that human auditory perception analyzes and tracks the relations between spectral frequency component amplitudes and the “Relative Excitation” name implies relative excitation levels of human auditory neurons. Described herein is a major breakthrough for explaining and simulating the human auditory perception and its robustness.

Claim (Index 23):
The method of  claim 12 , wherein the acoustic feature coefficients are used in the computer acoustic recognition system.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 1.59375
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14782799', '10363523', '12012334', '13393667', '12706482']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2733653640424238
- 35 USC 102 Novelty (BERT): 0.6778549247058306
- Combined Prediction Score: 0.3138143201087645
- Mean Citation Score: 368.62906
- Max Citation Score: 778.663
- Similarity Product: 643.6505983997582

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