PATENT CLAIM ANALYSIS

Application Number: 15992778
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["704", "232000"]

Abstract:
A computer-implemented method is provided. The computer-implemented method is performed by a speech recognition system having at least a processor. The method includes estimating sound identification information from a neural network having periodic indications and components of a frequency spectrum of an audio signal data inputted thereto. The method further includes performing a speech recognition operation on the audio signal data to decode the audio signal data into a textual representation based on the estimated sound identification information. The neural network includes a plurality of fully-connected network layers having a first layer that includes a plurality of first nodes and a plurality of second nodes. The method further comprises training the neural network by initially isolating the periodic indications from the components of the frequency spectrum in the first layer by setting weights between the first nodes and a plurality of input nodes corresponding to the periodic indications to 0.

Claim (Index 12):
The computer-implemented method of  claim 10 , further comprising Mel-filtering the periodic indications and the frequency spectrum before the inputting into the neural network.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.26087
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15441973', '15709024', '15697923', '15808324', '15952353']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2189103666951734
- 35 USC 102 Novelty (BERT): 0.5357037696630034
- Combined Prediction Score: 0.2505897069919564
- Mean Citation Score: 211.473178
- Max Citation Score: 364.79166
- Similarity Product: 360.3707733705068

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