PATENT CLAIM ANALYSIS

Application Number: 15909513
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["704", "226000"]

Abstract:
Signals are received from audio pickup channels that contain signals from multiple sound sources. The audio pickup channels may include one or more microphones and one or more accelerometers. Signals representative of multiple sound sources are generated using a blind source separation algorithm. It is then determined which of those signals is deemed to be a voice signal and which is deemed to be a noise signal. The output noise signal may be scaled to match a level of the output voice signal, and a clean speech signal is generated based on the output voice signal and the scaled noise signal. Other aspects are described.

Claim (Index 9):
The system in  claim 1 , wherein the plurality of audio pickup channels include a plurality of microphone signals from a plurality of microphones, respectively, and wherein the memory has stored therein instructions that program the processor to perform as\n a beamformer that generates a voicebeam signal and a noisebeam signal from the plurality of microphone signals, and a beamformer-based voice activity detector (VADb) that determines a magnitude difference between the voicebeam signal and the noisebeam signal, and generates a VADb output that indicates speech when the magnitude difference is greater than a magnitude difference threshold.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.96491
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15610500', '13631716', '13840136', '13840667', '15069808']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2971981659436943
- 35 USC 102 Novelty (BERT): 0.4856346234926766
- Combined Prediction Score: 0.3160418116985926
- Mean Citation Score: 213.345446
- Max Citation Score: 237.96663
- Similarity Product: 194.02064421611848

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

Dataset: test