PATENT CLAIM ANALYSIS

Application Number: 16023658
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["704", "244000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for speech recognition. One of the methods includes receiving first audio data corresponding to an utterance; obtaining a first transcription of the first audio data; receiving data indicating (i) a selection of one or more terms of the first transcription and (ii) one or more of replacement terms; determining that one or more of the replacement terms are classified as a correction of one or more of the selected terms; in response to determining that the one or more of the replacement terms are classified as a correction of the one or more of the selected terms, obtaining a first portion of the first audio data that corresponds to one or more terms of the first transcription; and using the first portion of the first audio data that is associated with the one or more terms of the first transcription to train an acoustic model for recognizing the one or more of the replacement terms.

Claim (Index 6):
The method of  claim 2 , comprising designating the non-canonical pronunciation of the particular term as a canonical pronunciation of the particular term.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 94.0
- Lexical Diversity: 2.90476
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15224104', '15014213', '14109316', '14186400', '13622547']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2718429185757485
- 35 USC 102 Novelty (BERT): 0.5105972521944105
- Combined Prediction Score: 0.2957183519376147
- Mean Citation Score: 225.074904
- Max Citation Score: 286.30124
- Similarity Product: 190.7942224109817

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