PATENT CLAIM ANALYSIS

Application Number: 15994085
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-12
Patent Classification: ["381", "107000"]

Abstract:
Methods, systems, and apparatuses are described for optimizing user content consuming experience by recognizing and classifying different sounds while a user views a program. The system may have or may access information related to the program audio being presented, enabling it to distinguish between conversations occurring in the program audio and conversations between users in the viewing environment. The system may turn the program volume down on one or more sound producing devices if it detects a conversation. The system may turn the program volume up if it detects an interrupting noise. The system may also adjust the program content based on locations of various objects within the listening or viewing environment, and types of users in the environment.

Claim (Index 4):
The method of  claim 1 , further comprising:\n determining, based on the filtered environment audio, that a conversation is occurring between at least one person within the user environment and another person; and determining a location of the at least one person within the user environment, wherein the adjusting the output of the content audio is further based on the location of the at least one person.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 93.0
- Lexical Diversity: 1.77778
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14566525', '14992766', '14375400', '15249880', '13732363']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6740367180862586
- 35 USC 102 Novelty (BERT): 0.4702741421490607
- Combined Prediction Score: 0.6536604604925389
- Mean Citation Score: 152.28645600000004
- Max Citation Score: 153.45422
- Similarity Product: 112.080652168138

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