PATENT CLAIM ANALYSIS

Application Number: 16163860
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["381", "108000"]

Abstract:
The present disclosure relates to a method and system for controlling loudness of an audio based on signal analysis and deep learning. The method includes analyzing an audio characteristic in a frame level based on signal analysis, analyzing the audio characteristic in the frame level based on learning, and controlling loudness of the audio in the frame level, by combining the analysis results. Accordingly, reliability of audio characteristic analysis can be enhanced and audio loudness can be optimally controlled.

Claim (Index 11):
A method for controlling loudness of an audio signal, the method comprising:\n analyzing one or more frames of the audio signal to determine a first set of characteristics using a first signal analysis that is based on deep-learning; analyzing one or more frames of the audio signal to determine a second set of characteristics using a second signal analysis that is different from the first signal analysis and is not based on deep-learning; determining importance for each of the one or more frames based on the first set of characteristics and the second set of characteristics; determining a weight for each of the one or more frames based on the importance; smoothing the weight using a moving average technique; and adjusting loudness of at least one of the one or more frames using the smoothed weight.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 97.0
- Lexical Diversity: 2.15
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13445769', '10486258', '13452494', '14588398', '14112537']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6914116541310005
- 35 USC 102 Novelty (BERT): 0.4739264736109277
- Combined Prediction Score: 0.6696631360789933
- Mean Citation Score: 166.75976799999995
- Max Citation Score: 171.51117
- Similarity Product: 126.00802377086876

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

Dataset: test