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 30):
The computer-implemented method of  claim 29 , wherein:\n biasing the language model according to the parameters that correspond to the first prediction comprises boosting probability scores in the language model for n-grams that are determined to frequently occur in voice inputs corresponding to a first stage of the multi-stage voice dialog that is identified by the first prediction, and biasing the language model according to the parameters that correspond to the second prediction comprises boosting probability scores in the language model for n-grams that are determined to frequently occur in voice inputs corresponding to a second stage of the multi-stage voice dialog that is identified by the second prediction.

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): 0.2612713518997933
- 35 USC 102 Novelty (BERT): 0.5486538443475484
- Combined Prediction Score: 0.2900096011445688
- Mean Citation Score: 250.955682
- Max Citation Score: 395.98502
- Similarity Product: 314.4124952276063

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