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 6):
The portable electronic device of  claim 1 , wherein the audio input device includes a first audio input device and a second audio input device,\n wherein the audio input data includes first audio input data and second audio input data, and wherein the processor is configured to: obtain the first audio input data through the first audio input device and to obtain the second audio input data through the second audio input device, as at least part of the operation of obtaining the audio input data; and pre-process first audio input data and the second audio input data using beamforming.

Metadata:
- Claim Count in Document: 28.0
- Percentile: 90.0
- Lexical Diversity: 2.79487
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15839499', '14671850', '15583012', '13700093', '15619252']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2849306742565177
- 35 USC 102 Novelty (BERT): 0.4813196949350235
- Combined Prediction Score: 0.3045695763243682
- Mean Citation Score: 184.45112
- Max Citation Score: 193.1188
- Similarity Product: 141.45113286623953

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