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 3):
The method of  claim 2 , wherein the audio frame characteristic analyzed at the first analyzing comprises loudness and silence.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 97.0
- Lexical Diversity: 2.15
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13445769', '10486258', '13452494', '14588398', '14112537']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7159167129121151
- 35 USC 102 Novelty (BERT): 0.4774721961854947
- Combined Prediction Score: 0.6920722612394531
- Mean Citation Score: 166.75976799999995
- Max Citation Score: 171.51117
- Similarity Product: 124.62413444708343

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