PATENT CLAIM ANALYSIS

Application Number: 16417515
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-11
Patent Classification: ["381", "001000"]

Abstract:
The invention discloses rendering sound field signals, such as Higher-Order Ambisonics (HOA), for arbitrary loudspeaker setups, where the rendering results in highly improved localization properties and is energy preserving. This is obtained by rendering an audio sound field representation for arbitrary spatial loudspeaker setups and/or by a a decoder that decodes based on a decode matrix (D). The decode matrix (D) is based on smoothing and scaling of a first decode matrix {circumflex over (D)} with smoothing coefficients. The first decode matrix {circumflex over (D)} is based on a mix matrix G and a mode matrix {tilde over (Ψ)}, where the mix matrix G was determined based on L speakers and positions of a spherical modelling grid related to a HOA order N, and the mode matrix {tilde over (Ψ)} was determined based on the spherical modelling grid and the HOA order N.

Claim (Index 2):
The method of  claim 1 , further comprising\n buffering and serializing a spatial signal W, wherein time samples w(t) for a plurality of channels are obtained; and delaying time samples w(t) individually for each of the channels in delay lines, wherein corresponding digital signals are obtained, wherein the delay lines compensate different loudspeaker distances.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 100.0
- Lexical Diversity: 2.28947
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15619935', '15920849', '16114937', '14415561', '15676843']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8020629522777403
- 35 USC 102 Novelty (BERT): 0.6297922914582356
- Combined Prediction Score: 0.7848358861957898
- Mean Citation Score: 522.927964
- Max Citation Score: 580.9227
- Similarity Product: 573.0269343898773

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