PATENT CLAIM ANALYSIS

Application Number: 16406989
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["381", "304000"]

Abstract:
Embodiments of systems and methods are described for estimating a position of a loudspeaker and notifying a listener if an abnormal condition is detected, such as an incorrect loudspeaker orientation or an obstruction in a path between the loudspeaker and a microphone array. For example, a front component of a multi-channel surround sound system may include the microphone array and a position estimation engine. The position estimation engine may estimate the distance between the loudspeaker and the microphone array. In addition, the position estimation engine may estimate an angle of the loudspeaker using a first technique. The position estimation engine may also estimate an angle of the loudspeaker using a second technique. The two angles can be processed to determine whether the abnormal condition exists. If the abnormal condition exists, a listener can be notified and be provided with suggestions for resolving the issue in a graphical user interface.

Claim (Index 4):
The apparatus of  claim 1 , wherein the computer-executable instructions, when executed, further cause the position estimation engine to identify the first peak based on a highest amplitude in an impulse response derived from the first audio signal.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.10526
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15968999', '15366818', '14332098', '13698401', '15379633']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7456129526919132
- 35 USC 102 Novelty (BERT): 0.5778648945875674
- Combined Prediction Score: 0.7288381468814786
- Mean Citation Score: 308.820422
- Max Citation Score: 459.9308
- Similarity Product: 457.6802192745209

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