PATENT CLAIM ANALYSIS

Application Number: 16058842
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["702", "189000"]

Abstract:
A method of audio processing receives a sequence of sample values, each corresponding with a location in video or audio content; forms an initially estimated quantile value; and then modifies the estimated value in dependence upon a count of the results of comparisons between sample values within a fixed-length interval of the sequence of samples values and the estimated value to form an estimated quantile of the sequence of sample values. The estimated quantile is used in the measurement or control of loudness.

Claim (Index 11):
A non-transitory computer program product adapted to cause programmable apparatus to implement a method of measuring loudness in audio content, the method comprising the steps in one or more processors of:\n receiving a sequence of sample values derived from the audio content, forming an initially estimated quantile value; modifying the initially estimated quantile value in dependence upon a count of the results of comparisons between sample values within a fixed-length interval of the said sequence of samples values and the said initially estimated quantile value to form an estimated quantile of the sequence of sample values; and using the estimated quantile of the sequence of sample values in the measurement of loudness.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 96.0
- Lexical Diversity: 1.79592
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15303435', '13942161', '14020185', '11630727', '15424493']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1891577853672697
- 35 USC 102 Novelty (BERT): 0.4622664436465953
- Combined Prediction Score: 0.2164686511952022
- Mean Citation Score: 154.944416
- Max Citation Score: 163.83253
- Similarity Product: 128.0142803327918

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

Dataset: test