PATENT CLAIM ANALYSIS

Application Number: 16216752
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
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 1):
A method comprising:\n displaying, by data processing hardware of a user device, a prompt in a graphical user interface executing on the data processing hardware, the prompt requesting a user to provide a personalized term for initiating the user device to perform a particular action; receiving, at the data processing hardware, audio data corresponding to the user speaking the personalized term; obtaining, by the data processing hardware using the audio data corresponding to the user speaking the personalized term, a detection model that corresponds to the personalized term; after obtaining the detection model that corresponds to the personalized term, detecting, by the data processing hardware, the personalized term in an utterance spoken by the user using the obtained detection model; and in response to detecting the personalized term in the utterance, initiating, by the data processing hardware, the user device to perform the particular action.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 2.14
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15875996', '15001894', '14340833', '15463786', '15288241']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2850526396687625
- 35 USC 102 Novelty (BERT): 0.5499279648726336
- Combined Prediction Score: 0.3115401721891496
- Mean Citation Score: 374.275638
- Max Citation Score: 408.74628
- Similarity Product: 337.46768882841826

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