PATENT CLAIM ANALYSIS

Application Number: 15909519
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["704", "251000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving audio data corresponding to an utterance, determining that the audio data corresponds to a hotword, generating a hotword audio fingerprint of the audio data that is determined to correspond to the hotword, comparing the hotword audio fingerprint to one or more stored audio fingerprints of audio data that was previously determined to correspond to the hotword, detecting whether the hotword audio fingerprint matches a stored audio fingerprint of audio data that was previously determined to correspond to the hotword based on whether the comparison indicates a similarity between the hotword audio fingerprint and one of the one or more stored audio fingerprints that satisfies a predetermined threshold, and in response to detecting that the hotword audio fingerprint matches a stored audio fingerprint, disabling access to a computing device into which the utterance was spoken.

Claim (Index 14):
The system of  claim 9 , wherein the operations further comprise:\n receiving, by the mobile computing device, additional audio data corresponding to a voice command or query; and determining a type of the voice command or query.

Metadata:
- Claim Count in Document: 51.0
- Percentile: 90.0
- Lexical Diversity: 2.62295
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15176482', '15176830', '14943287', '15387884', '15466979']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3290626313949908
- 35 USC 102 Novelty (BERT): 0.5498300321498739
- Combined Prediction Score: 0.3511393714704792
- Mean Citation Score: 332.369664
- Max Citation Score: 429.13403
- Similarity Product: 320.7250225607932

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

Dataset: test