PATENT CLAIM ANALYSIS

Application Number: 16304570
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-06
Patent Classification: ["381", "071100"]

Abstract:
The present invention discloses a noise-reduction method and device for self-adaptively adjusting a noise reduction gain, and a noise reduction earphone. The method includes: receiving a voice signal collected by a microphone installed on an earphone receiver as a noise signal; obtaining a current noise level of an external environment according to a current sound intensity of the noise signal; setting a current noise reduction gain value corresponding to a current noise level; and performing a noise reduction processing on the noise signal according to a current noise reduction gain value. The present invention sets a noise reduction gain value corresponding to a current noise level of an external environment according to the current noise level, which enables the noise-reduction earphone to adaptively adjust a noise reduction gain and effectively improves the user experience.

Claim (Index 6):
The device according to  claim 5 , wherein the level obtaining module comprises:\n a comparison unit, configured to compare the current sound intensity of the noise signal with a set value reflecting the noise level, to obtain a comparison result; and an obtaining unit, configured to obtain the current noise level of the external environment according to the comparison result.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 98.0
- Lexical Diversity: 2.50877
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15126754', '12403646', '13667111', '15857903', '14110879']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7201125838373691
- 35 USC 102 Novelty (BERT): 0.4742546902762755
- Combined Prediction Score: 0.6955267944812598
- Mean Citation Score: 185.810732
- Max Citation Score: 190.72272
- Similarity Product: 150.73830805532455

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

Dataset: test