PATENT CLAIM ANALYSIS

Application Number: 16146416
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-02
Patent Classification: ["704", "232000"]

Abstract:
Techniques are provided for efficient acoustic event detection with reduced resource consumption. A methodology implementing the techniques according to an embodiment includes calculating frames of power spectra based on segments of received acoustic signals. The method further includes two processes, one for detecting impulsive acoustic events and another for detecting continuous acoustic events. The first process includes generating impulsive acoustic event features associated with first and second power spectrum frames, applying a neural network classifier to the impulsive acoustic event features to generate event scores, and detecting an impulsive acoustic event based on those event scores. The second process includes generating reduced-dimension continuous acoustic event features associated with the first and second power spectrum frames, applying a neural network classifier to the reduced-dimension continuous acoustic event features to generate a second set of event scores, and detecting a continuous acoustic event based on the second set of event scores.

Claim (Index 19):
The computer readable storage medium of  claim 14 , wherein the first neural network classifier and the second neural network classifier are deep feedforward neural networks comprising a number of fully connected affine layers, the number of layers in the range of  4  to  6  layers.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 97.0
- Lexical Diversity: 2.52381
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13796670', '15910387', '14268459', '15583012', '15494193']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2455397286434143
- 35 USC 102 Novelty (BERT): 0.5000344815235962
- Combined Prediction Score: 0.2709892039314325
- Mean Citation Score: 134.93855000000002
- Max Citation Score: 148.62807
- Similarity Product: 80.0536073915112

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