PATENT CLAIM ANALYSIS

Application Number: 16186411
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["381", "303000"]

Abstract:
Systems and methods to calibrate listening devices are disclosed herein. In some embodiments, a method to calibrate earphones includes determining a Head Related Transfer Functions (HRTF) corresponding to different parts of a user's anatomy (e.g., one or both of a listener's pinnae). The resulting HRTFs are combined to form a composite HRTF. In some embodiments, a first and a second HRTF are respectively determined for a first and second part of the user's anatomy. A composite HRTF of the user is generated by combining portions of the first and second HRTFs.

Claim (Index 13):
A method for calibrating sound, the method comprising:\n transmitting, via a server, instructions to a mobile device to install a mobile application for calibrating a listening device worn at least proximate to ears of a listener,\n wherein the mobile application is configured to cause the mobile device to emit predetermined audio signals for calibrating the ear phones, and \n wherein the mobile application communicatively couples the listening device to the server; \n receiving, from the mobile device, listener anatomy data, wherein the anatomy data includes a listener head size or head shape; determining, via the server, a transfer function for at least one ear for the listener partially based on the received listener anatomy data; and sending instructions to the listening device to modify sound transmitted to the listener at least partially based on the determined transfer function.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 1.79661
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15592736', '15067138', '14720688', '15428965', '12583540']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6585387321681121
- 35 USC 102 Novelty (BERT): 0.5527283688675652
- Combined Prediction Score: 0.6479576958380574
- Mean Citation Score: 273.08323600000006
- Max Citation Score: 398.12042
- Similarity Product: 384.4496196596551

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

Dataset: test