PATENT CLAIM ANALYSIS

Application Number: 16067975
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["381", "023000"]

Abstract:
An ambisonic encoder for a sound wave has a plurality of reflections. The ambisonic encoder makes it possible to improve the sensation of immersion in a 3D audio scene. The complexity of encoding of the reflections of sound sources for an ambisonic encoder is less than the complexity of encoding of the reflections of sound sources of previously known ambisonic encoders. The ambisonic encoder makes it possible to encode a greater number of reflections of a sound source in real time, and makes it possible to reduce the power consumption related to ambisonic encoding, and to increase the life of a battery of a mobile device used for said application.

Claim (Index 10):
The ambisonic encoder as claimed in  claim 1 , wherein the logic for calculating spherical harmonics of the sound wave and of the plurality of reflections is further configured to calculate spherical harmonics of the sound wave and of the plurality of reflections at each output frequency of the frequency transformation circuit, said ambisonic encoder further comprising logic for calculating binaural coefficients of the sound wave, which logic is configured to calculate binaural coefficients of the sound wave by multiplying, at each output frequency of the circuit for transforming the frequency of the sound wave, the signal of the sound wave by the spherical harmonics of the sound wave and of the plurality of reflections at this frequency.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 95.0
- Lexical Diversity: 2.10909
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['10535524', '16471371', '13192717', '14442440', '13581012']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6595039971208244
- 35 USC 102 Novelty (BERT): 0.5093369266037103
- Combined Prediction Score: 0.6444872900691131
- Mean Citation Score: 231.50146
- Max Citation Score: 273.26443
- Similarity Product: 207.7299905600798

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