PATENT CLAIM ANALYSIS

Application Number: 15893127
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["700", "094000"]

Abstract:
Methods and arrangements involving electronic devices, such as smartphones, tablet computers, wearable devices, etc., are disclosed. One arrangement involves a low-power processing technique for discerning cues from audio input. Another involves a technique for detecting audio activity based on the Kullback-Liebler divergence (KLD) (or a modified version thereof) of the audio input. Still other arrangements concern techniques for managing the manner in which policies are embodied on an electronic device. Others relate to distributed computing techniques. A great variety of other features are also detailed.

Claim (Index 34):
The method of  claim 32 , wherein processing the audio input to discern the presence of a digital audio watermark signal within the audio input comprises:\n buffering frames of the audio input; transforming the frames into spectral magnitude frames; accumulating spectral magnitude frames into an accumulation buffer; from the accumulation buffer, extracting spectral magnitude values corresponding to selected bits of the digital audio watermark signal; correlating the extracted spectral magnitude values with a predetermined signal to produce a correlation metric.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 88.0
- Lexical Diversity: 1.44928
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15192925', '13841727', '14270163', '15090279', '15145784']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3660007850756526
- 35 USC 102 Novelty (BERT): 0.5131629605732743
- Combined Prediction Score: 0.3807170026254148
- Mean Citation Score: 178.37546200000003
- Max Citation Score: 312.2495
- Similarity Product: 268.905297344178

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