PATENT CLAIM ANALYSIS

Application Number: 15983768
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["704", "235000"]

Abstract:
Systems, methods, devices, and other techniques are described herein for determining dialog states that correspond to voice inputs and for biasing a language model based on the determined dialog states. In some implementations, a method includes receiving, at a computing system, audio data that indicates a voice input and determining a particular dialog state, from among a plurality of dialog states, which corresponds to the voice input. A set of n-grams can be identified that are associated with the particular dialog state that corresponds to the voice input. In response to identifying the set of n-grams that are associated with the particular dialog state that corresponds to the voice input, a language model can be biased by adjusting probability scores that the language model indicates for n-grams in the set of n-grams. The voice input can be transcribed using the adjusted language model.

Claim (Index 36):
The computer-readable media of  claim 35 , wherein the operations further comprise providing, by the computing device and to the voice dialog system in conjunction with the audio data for the voice input and the indication of the first prediction, the context data that describes the context of the voice input to the computing device.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 93.0
- Lexical Diversity: 2.27536
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15071651', '15432620', '15336056', '15396045', '13863505']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2627932613935877
- 35 USC 102 Novelty (BERT): 0.5463597789894566
- Combined Prediction Score: 0.2911499131531746
- Mean Citation Score: 250.955682
- Max Citation Score: 395.98502
- Similarity Product: 265.39753545605544

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