PATENT CLAIM ANALYSIS

Application Number: 15875996
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["704", "235000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining, for each of multiple words or sub-words, audio data corresponding to multiple users speaking the word or sub-word; training, for each of the multiple words or sub-words, a pre-computed hotword model for the word or sub-word based on the audio data for the word or sub-word; receiving a candidate hotword from a computing device; identifying one or more pre-computed hotword models that correspond to the candidate hotword; and providing the identified, pre-computed hotword models to the computing device.

Claim (Index 14):
A non-transitory computer storage medium encoded with a computer program, the computer program comprising instructions that when executed by one or more processors cause the one or more processors to perform operations comprising:\n receiving, by a server-based hotword configuration engine, text that a user has typed or entered by touch input into a mobile computing device or digital assistant device for use as a custom hotword, wherein a custom hotword is personalized term that, when spoken in advance of a voice command, initiates a wake up process on the mobile computing device or digital assistant device for processing the voice command; obtaining, by the server-based hotword configuration engine, a hotword detection model that was previously trained to detect the custom hotword being spoken without using any audio samples of the user speaking the custom hotword; and providing, by the server-based hotword configuration engine, the hotword detection model to the mobile computing device or the digital assistant device for use in detecting the custom hotword being spoken by the user.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 86.0
- Lexical Diversity: 2.14
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14340833', '15463786', '15001894', '15288241', '15002044']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3292866564024156
- 35 USC 102 Novelty (BERT): 0.5347981906058468
- Combined Prediction Score: 0.3498378098227587
- Mean Citation Score: 338.7347680000001
- Max Citation Score: 381.10214
- Similarity Product: 326.3329454238725

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