PATENT CLAIM ANALYSIS

Application Number: 16314287
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-05
Patent Classification: ["381", "094100"]

Abstract:
There is provided a noise suppressor  2  comprising a receiver  4  operable to receive an input audio signal  14  and to produce from the input audio signal  14  a first signal  16  and a second signal  18,  the input audio signal  14  comprising desired audio and transmission end noise. The noise suppressor  2  further comprises a first processor  6  operable to perform a first process on the first signal  16,  the first process comprising noise suppression to remove at least a portion of the transmission end noise from the first signal  16  before outputting the first signal  16  to a first audio channel  10.  The noise suppressor further comprises a second processor  8  operable to perform a second process on the second signal  18,  the second process comprising outputting the second signal 18 to a second audio channel  12.  The first process comprises more aggressive noise suppression than the second process.

Claim (Index 6):
The noise suppressor of  claim 1 , wherein the input audio signal is a stereo audio signal comprising a first input signal and a second input signal, and the receiver is operable to use the first input signal as the first signal and the second input signal as the second signal.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 98.0
- Lexical Diversity: 2.92593
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14865885', '15999121', '13295981', '13673267', '12874888']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6900373869766451
- 35 USC 102 Novelty (BERT): 0.4629112527169411
- Combined Prediction Score: 0.6673247735506747
- Mean Citation Score: 185.838216
- Max Citation Score: 194.91481
- Similarity Product: 169.4521325254476

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