PATENT CLAIM ANALYSIS

Application Number: 15933756
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["704", "202000"]

Abstract:
A portable electronic device includes an audio input device and a processor. The processor is configured to obtain audio input data including a noise signal having an audio feature through the audio input device, to filter the audio input data using a neural network model to generate first audio output data, and to filter the first audio output data without using the neural network model to generate second audio output data. The first audio output data has a first changed audio feature corresponding to the audio feature and the second audio output data has a second changed audio feature corresponding to the audio feature.

Claim (Index 10):
An electronic device comprising:\n a memory configured to store data corresponding to a neural network model; and a processor electrically connected to the memory, wherein the processor is configured to: generate a first input signal including a voice signal and a first noise signal; generate a second input signal including the voice signal and a second noise signal different from the first noise signal; process the first input signal based at least partly on the neural network model to obtain an output signal; and refine at least part of the neural network model based at least partly on a result of a comparison between the output signal and the second input signal.

Metadata:
- Claim Count in Document: 28.0
- Percentile: 90.0
- Lexical Diversity: 2.79487
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15839499', '14671850', '15583012', '13700093', '15619252']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2631343559829588
- 35 USC 102 Novelty (BERT): 0.4699130514958566
- Combined Prediction Score: 0.2838122255342487
- Mean Citation Score: 184.45112
- Max Citation Score: 193.1188
- Similarity Product: 154.15350602374076

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

Dataset: test