PATENT CLAIM ANALYSIS

Application Number: 15909054
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["381", "303000"]

Abstract:
Methods and systems for sound propagation and perception for autonomous agents in dynamic environments are described. Adaptive discretization of continuous sound signals allows one to obtain a minimal, yet sufficient sound packet representation (SPR) for human-like perception, and a hierarchical clustering scheme to facilitate approximate perception. Planar sound propagation of discretized sound signals exhibit acoustic properties such as attenuation, reflection, refraction, and diffraction, as well as multiple convoluted sound signals. Agent-based sound perceptions using hierarchical clustering analysis that accommodates natural sound degradation due to audio distortion facilitate approximate human-like perception.

Claim (Index 3):
The method of  claim 1 , wherein the sound signal is one of a plurality of sound signals from a database of short time Fourier transforms of sounds.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 90.0
- Lexical Diversity: 1.56923
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14904819', '14859143', '14318916', '11523847', '15618061']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6753250774119856
- 35 USC 102 Novelty (BERT): 0.5079880507913846
- Combined Prediction Score: 0.6585913747499255
- Mean Citation Score: 136.08483740000003
- Max Citation Score: 270.44907
- Similarity Product: 196.89580109366656

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

Dataset: test