PATENT CLAIM ANALYSIS

Application Number: 16037372
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["707", "723000"]

Abstract:
A method includes determining, at a processor of a device, an unordered match between a set of consecutive portions of a first audio fingerprint and a set of non-consecutive portions of a second audio fingerprint. The method also includes setting, based at least in part on a station associated with the second audio fingerprint, a length criterion to indicate a first length or a second length. The method further includes, in response to determining that a length of the unordered match satisfies a length criterion, outputting an indicator that the first audio fingerprint matches the second audio fingerprint.

Claim (Index 10):
The method of  claim 8 , further comprising:\n computing match scores for each portion of multiple portions of the first audio fingerprint, the match scores for a particular portion based on a comparison of the particular portion with each of multiple portions of the second audio fingerprint; identifying a highest score of the match scores for each portion of the multiple portions of the first audio fingerprint; and generating a list of runs based on the identified highest score for each portion of the multiple portions of the first audio fingerprint, wherein the unordered match is determined based on the list of runs.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 2.22917
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15282691', '16037346', '13887988', '13833719', '15652149']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2180922453212075
- 35 USC 102 Novelty (BERT): 0.5950272290684333
- Combined Prediction Score: 0.2557857436959301
- Mean Citation Score: 378.954566
- Max Citation Score: 517.15094
- Similarity Product: 466.4400990754104

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

Dataset: test