PATENT CLAIM ANALYSIS

Application Number: 16003396
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["381", "313000"]

Abstract:
A microphone system comprises a multitude of microphones; a signal processor connected to said number of microphones, and being configured to estimate a direction-to and/or a position of the target sound source relative to the microphone system based on a maximum likelihood methodology; and a database Θ comprising a dictionary of relative transfer functions representing direction-dependent acoustic transfer functions from said target signal source to each of said microphones relative to a reference microphone among said microphones, wherein individual dictionary elements of said database Θ of relative transfer functions comprises relative transfer functions for a number of different directions and/or positions relative to the microphone system; and wherein the signal processor is configured to determine one or more of the most likely directions to or locations of said target sound source. The invention may e.g. be used for the hearing aids or other portable audio communication devices.

Claim (Index 4):
A microphone system according to  claim 2  wherein said noisy target signal covariance matrix C x  and said noise covariance matrix C v  are represented by smoothed estimates.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 94.0
- Lexical Diversity: 2.06667
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15915734', '15608294', '15290643', '15042944', '15669020']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.742841735053308
- 35 USC 102 Novelty (BERT): 0.5145917941970084
- Combined Prediction Score: 0.720016740967678
- Mean Citation Score: 279.779102
- Max Citation Score: 303.93536
- Similarity Product: 225.3189088137817

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