PATENT CLAIM ANALYSIS

Application Number: 15912780
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["704", "235000"]

Abstract:
In one aspect, a method comprises accessing audio data generated by a computing device based on audio input from a user, the audio data encoding one or more user utterances. The method further comprises generating a first transcription of the utterances by performing speech recognition on the audio data using a first speech recognizer that employs a language model based on user-specific data. The method further comprises generating a second transcription of the utterances by performing speech recognition on the audio data using a second speech recognizer that employs a language model independent of user-specific data. The method further comprises determining that the second transcription of the utterances includes a term from a predefined set of one or more terms. The method further comprises, based on determining that the second transcription of the utterance includes the term, providing an output of the first transcription of the utterance.

Claim (Index 6):
The method of  claim 2 , comprising generating, by a search engine associated with the cloud-based automated speech recognizer, the one or more search results using one or more terms of the mistranscription of the utterance as query terms.

Metadata:
- Claim Count in Document: 51.0
- Percentile: 90.0
- Lexical Diversity: 2.9434
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13838379', '13892590', '14726943', '15336056', '14739287']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2693868029005299
- 35 USC 102 Novelty (BERT): 0.5389347117711633
- Combined Prediction Score: 0.2963415937875933
- Mean Citation Score: 314.335912
- Max Citation Score: 378.2513
- Similarity Product: 266.8160734417796

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