PATENT CLAIM ANALYSIS

Application Number: 16220054
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-06
Patent Classification: ["381", "056000"]

Abstract:
An audio control system can automatically determine an occupancy of an audience seating area, and can automatically adjust a spectral content of an audio signal to at least partially compensate for spectral effects caused by the occupancy in the audience seating area. Such an audio control system can ensure that the sound in a particular room remains constant, or nearly constant, from performance to performance. The occupancy can include a number of people in attendance in the audience seating area, and/or locations of attendees in the audience seating area. The audio control system can automatically adjust the spectral content a single time, at the start of a performance, or can optionally automatically dynamically update the adjustment throughout the performance based on subsequent measurements of the occupancy. The system can determine the occupancy through ticket sales, and/or analysis of imaging of the seats in the audience seating area.

Claim (Index 5):
The audio control system of  claim 1 , wherein the data processing activities include determining the occupancy of the audience seating area according to locations of occupied seats in the audience seating area.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 98.0
- Lexical Diversity: 2.27143
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16110335', '14586102', '14183231', '15707568', '14605050']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6869983000624971
- 35 USC 102 Novelty (BERT): 0.5013331024028437
- Combined Prediction Score: 0.6684317802965317
- Mean Citation Score: 152.78663799999995
- Max Citation Score: 183.09164
- Similarity Product: 110.97213091809036

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