PATENT CLAIM ANALYSIS

Application Number: 16298469
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-09
Patent Classification: ["704", "235000"]

Abstract:
This document generally describes systems and methods for dynamically adapting speech recognition for individual voice queries of a user using class-based language models. The method may include receiving a voice query from a user that includes audio data corresponding to an utterance of the user, and context data associated with the user. One or more class models are then generated that collectively identify a first set of terms determined based on the context data, and a respective class to which the respective term is assigned for each respective term in the first set of terms. A language model that includes a residual unigram may then be accessed and processed for each respective class to insert a respective class symbol at each instance of the residual unigram that occurs within the language model. A transcription of the utterance of the user is then generated using the modified language model.

Claim (Index 1):
A method performed by one or more computers, the method comprising:\n receiving a voice query from a user that includes (i) audio data corresponding to an utterance of the user, and (ii) context data associated with at least one of the audio data or the user; in response to receiving the voice query, generating one or more class models that collectively identify (i) a first set of terms determined based on the context data associated with the at least one of the audio data or the user and (ii) for each respective term in the first set of terms, a respective class to which the respective term is assigned, wherein at least some terms in the first set of terms are assigned to different ones of a plurality of classes; accessing a language model that includes a residual unigram representing a second set of terms; processing the language model, including for each respective class among the plurality of classes, inserting, at each instance of the residual unigram that occurs within the language model, a respective class symbol associated with the respective class; and generating a transcription of the utterance of the user using the modified language model.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 1.9375
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15396045', '14242228', '14179257', '15863938', '14290090']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2723323357829367
- 35 USC 102 Novelty (BERT): 0.5187924235148438
- Combined Prediction Score: 0.2969783445561275
- Mean Citation Score: 205.25991
- Max Citation Score: 338.55878
- Similarity Product: 322.4587081644773

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

Dataset: test