PATENT CLAIM ANALYSIS

Application Number: 16060125
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["704", "231000"]

Abstract:
Various examples are provided related to speech recognition. In one example, a method includes converting an auditory signal into a pulse train, segmenting the pulse train into a series of frames having a predefined duration, and identifying a portion of the auditory signal by applying at least a portion of the series of frames segmented from the pulse train to a kernel adaptive autoregressive-moving-average (KAARMA) network. In another example, a speech recognition system includes processing circuitry configured to convert an auditory signal into a pulse train, segment the pulse train into a secured of frames, and identifying a portion of the auditory signal by applying at least a portion of the series of frames segmented from the pulse train to a KAARMA network. The series of frames segmented from the pulse train can be applied to a KAARMA chain including a plurality of KAARMA networks for identification.

Claim (Index 2):
The speech recognition method of  claim 1 , wherein the pulse train is transformed into a reproducing kernel Hilbert space (RKHS) using a spike kernel.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 94.0
- Lexical Diversity: 2.44615
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14102564', '14743478', '15278651', '15027307', '13765002']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2690894043316081
- 35 USC 102 Novelty (BERT): 0.4811669795199095
- Combined Prediction Score: 0.2902971618504383
- Mean Citation Score: 157.331894
- Max Citation Score: 167.32126
- Similarity Product: 115.15996508942844

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

Dataset: test