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 1):
A method comprising:\n 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; 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; and in response to determining that a length of the unordered match satisfies the length criterion, outputting an indicator that the first audio fingerprint matches the second audio fingerprint.

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): 0.2193446715214429
- 35 USC 102 Novelty (BERT): 0.5907294740882436
- Combined Prediction Score: 0.256483151778123
- Mean Citation Score: 378.954566
- Max Citation Score: 517.15094
- Similarity Product: 446.0385922433758

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