PATENT CLAIM ANALYSIS

Application Number: 15942693
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["704", "233000"]

Abstract:
A system uses a voice energy detection (VED) circuit along with a capture buffer for improved performance and lower power dissipation. With a VED assigned to each microphone in the system, combing the output of more than one VED to improve the detection probability or reduce the false alarm rate improves the post detection signal-to-noise ratio. One or more VED circuits are dynamically selected based on background energy and detection performance. Further, a digital VED algorithm dynamically changes the oversampling ratio (OSR) values and passband bandwidth as a function of the loudness of the background noise and desired signal levels. If the desired signal or noise is strong, then the OSR is reduced to save power. If desired speech is detected, then the OSR value increases to get the target SNR for the remaining audio processing needs.

Claim (Index 4):
The VED system of  claim 3 , wherein a second VED circuit that does not correspond to the master microphone is configured to dynamically update the master microphone, the second VED circuit being configured to\n scan the one or more microphones for audio acoustic energy, identify a microphone from the one or more microphones that has higher audio acoustic energy than the master microphone, update the identified microphone to be the master microphone.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 91.0
- Lexical Diversity: 1.69663
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15719454', '15718521', '15699982', '14082085', '15042944']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2533764909409868
- 35 USC 102 Novelty (BERT): 0.4724722030168659
- Combined Prediction Score: 0.2752860621485747
- Mean Citation Score: 122.8751888
- Max Citation Score: 127.32102
- Similarity Product: 86.30021356232643

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