PATENT CLAIM ANALYSIS

Application Number: 15749750
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["381", "077000"]

Abstract:
Example embodiments disclosed herein relate to audio signal processing. The audio signal has multiple audio objects. A method of processing an audio signal is disclosed. The method includes obtaining an object position for each of the audio objects; and determining cluster positions for grouping the audio objects into clusters based on the object positions, a plurality of object-to-cluster gains, and a set of metrics. The metrics indicate a quality of the cluster positions and a quality of the object-to-cluster gains, each of the cluster positions is a centroid of a respective one of the clusters, and one of the object-to-cluster gains defines a ratio of the respective audio object in one of the clusters. The method also includes determining the object-to-cluster gains based on the object positions, the cluster positions and the set of metrics; and generating a cluster signal based on the determined cluster positions and object-to-cluster gains. Corresponding system and computer program product are also disclosed.

Claim (Index 2):
The method according to  claim 1 , further comprising:\n alternately performing the determining of the cluster positions and the determining of the object-to-cluster gains until the predetermined condition is met.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 2.86667
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15375488', '14908094', '14654460', '15117647', '15110371']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.693162939662664
- 35 USC 102 Novelty (BERT): 0.5180368279143315
- Combined Prediction Score: 0.6756503284878307
- Mean Citation Score: 232.081812
- Max Citation Score: 311.47766
- Similarity Product: 214.1732880741632

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test