PATENT CLAIM ANALYSIS

Application Number: 16196356
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-09
Patent Classification: ["381", "056000"]

Abstract:
Disclosed is a sound event detecting method including receiving an audio signal, transforming the audio signal into a two-dimensional (2D) signal, extracting a feature map by training a convolutional neural network (CNN) using the 2D signal, pooling the feature map based on a frequency, and determining whether a sound event occurs with respect to each of at least one time interval based on a result of the pooling.

Claim (Index 9):
The sound event detecting apparatus of  claim 1 , wherein the control program is further configured to perform classifying a sound event occurring at each time interval based on predefined sound event information.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 98.0
- Lexical Diversity: 1.54
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16018359', '14737678', '15958274', '11050806', '13037479']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6944898853489527
- 35 USC 102 Novelty (BERT): 0.4736699644786337
- Combined Prediction Score: 0.6724078932619209
- Mean Citation Score: 143.175168
- Max Citation Score: 160.00294
- Similarity Product: 117.80671101474044

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