PATENT CLAIM ANALYSIS

Application Number: 15967795
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["381", "303000"]

Abstract:
Methods, systems, and apparatuses are disclosed for generating a spatial audio format. An input audio source may include one or more individual channels. The one or more individual channels may be designated to be played by a corresponding one or more speakers. The one or more individual channels of the audio source may be separated. The one or more individual tracks may be input into a modeling space representing a multi-dimensional space. The modeling space may include a plurality of emitters at various locations in a vector space. Each of the one or more individual channels may be panned to one or more of the plurality of emitters. The panning may be based on a normalized proximity of the one or more individual channels in the modeling space to the plurality of emitters. The one or more of the plurality of emitters may be encoded into a single multichannel file.

Claim (Index 5):
The method of  claim 4 , wherein the decoding comprises:\n panning each of the one or more plurality of emitters to one or more audio channels, wherein the panning is based on a normalized proximity of the one or more audio channels in the modeling space to the one or more plurality of emitters.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 93.0
- Lexical Diversity: 2.72881
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15449700', '15031953', '15934849', '14421798', '14130386']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6867391462811964
- 35 USC 102 Novelty (BERT): 0.517517977053608
- Combined Prediction Score: 0.6698170293584375
- Mean Citation Score: 169.23523999999995
- Max Citation Score: 306.7127
- Similarity Product: 227.3989906131983

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