PATENT CLAIM ANALYSIS

Application Number: 16214666
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["704", "251000"]

Abstract:
Disclosed herein are example techniques for voice detection by multiple NMDs. An example implementation may involve one or more servers receiving, via a network interface, data representing multiple audio recordings of a voice input spoken by a given user, each audio recording recorded by a respective NMD of the multiple NMDs, wherein the voice input comprises a detected wake-word. Based on respective sound pressure levels of the multiple audio recordings of the voice input, the servers (i) select a particular NMD of the multiple NMDs and (ii) forego selection of other NMDs of the multiple NMDs. The servers send, via the network interface to the particular NMD, data representing a playback command that corresponds to a voice command in the voice input represented in the multiple audio recordings, wherein the data representing the playback command causes the particular NMD to play back audio content according to the playback command.

Claim (Index 4):
The system of  claim 1 , wherein selecting the particular NMD of the multiple NMDs comprises determining that a sound pressure level of a particular audio recording of the multiple audio recordings has a higher sound pressure level than other audio recording of the multiple audio recordings, the particular audio recording recorded by the particular NMD.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 98.0
- Lexical Diversity: 2.22973
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15211748', '15211689', '16173797', '16192126', '15229868']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3123119364675706
- 35 USC 102 Novelty (BERT): 0.5069876380862133
- Combined Prediction Score: 0.3317795066294349
- Mean Citation Score: 271.18098
- Max Citation Score: 326.8969
- Similarity Product: 246.9445436697066

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