PATENT CLAIM ANALYSIS

Application Number: 16147889
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-01
Patent Classification: ["704", "275000"]

Abstract:
A system, method, and non-transitory computer readable medium provide for a visual display of a user interface for a voice-based virtual assistant system. After displaying a transcription of user speech and performing requested actions, the system allows the user to provide, by speech or manual input, an indication of satisfaction or dissatisfaction. For transcription errors, the user is presented an opportunity to correct the transcription text. The system can present several transcription hypotheses to the user, and allow the user to choose among them, or to edit one of them, as the intended transcription. A back-end server system uses the corrected transcription to train a machine learning model to perform more accurate speech recognition or provide more useful actions for future users. A system can save one or more speech recognition transcription hypotheses and check corrected results against the other transcriptions to further improve models.

Claim (Index 4):
A method of collecting user feedback and correction of transcription errors, the method comprising:\n visually displaying a transcription word sequence of recognized speech; accepting input from a user about whether the word sequence is a correct transcription; responsive to the input being negative, asking the user to correct the transcription; accepting input from the user correcting the transcription; and using the corrected transcription to improve speech recognition accuracy.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 97.0
- Lexical Diversity: 1.92771
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15439883', '13917884', '14337472', '09432155', '10684135']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2816324831043462
- 35 USC 102 Novelty (BERT): 0.50203390119069
- Combined Prediction Score: 0.3036726249129806
- Mean Citation Score: 210.05277400000003
- Max Citation Score: 228.7937
- Similarity Product: 145.46509889867306

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

Dataset: test