PATENT CLAIM ANALYSIS

Application Number: 16000281
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-04
Patent Classification: ["381", "077000"]

Abstract:
Placement of one or two placed virtual loudspeakers within a loudspeaker setup that includes a real loudspeakers is determined and vector base amplitude panning (VBAP) gains including the gains of the real loudspeakers and placed one or two virtual loudspeakers are also then determined. Gains of one or two placed virtual loudspeakers are redistributed to the real loudspeakers to ensure preservation of total energy. Real loudspeakers in the loudspeaker setup have redistributed gains of one or two placed virtual loudspeakers. Loudspeaker outputs are generated and transmitted to the real loudspeakers to be played back. When received audio content is ambisonics content, a predetermined grid is generated and HOA content is projected to the grid. Other aspects are also described.

Claim (Index 16):
The method of  claim 12 , wherein redistributing gains of the one or two virtual placed loudspeakers to the real loudspeakers to ensure preservation of total energy further comprises:\n determining a location of a panned sound source, determining a quadratic formula based on the location of the panned sound source, and solving the quadratic formula to obtain a redistribution of gains needed to ensure preservation of total energy.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 94.0
- Lexical Diversity: 2.06452
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13634859', '14750115', '15876404', '15479108', '15245061']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7456462849333301
- 35 USC 102 Novelty (BERT): 0.5213954583068954
- Combined Prediction Score: 0.7232212022706866
- Mean Citation Score: 287.49138000000005
- Max Citation Score: 292.4597
- Similarity Product: 167.0980635285616

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