PATENT CLAIM ANALYSIS

Application Number: 15911114
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["704", "221000"]

Abstract:
Disclosed are a voice recognition system and a construction method for the voice recognition system. By way of layering the system, a general semantic recognition operation for the system is separated from a specific semantic recognition operation for an application program; and by way of classifying the application programs and abstracting out a common performance function, the system can find the application program matching the voice content semantics very efficiently and a third-party program is easily added into the existing voice recognition system. The present invention maps many performance function to a preset expression with semantic variables, so that the system can recognize more semantic expression manners with optimization of the semantic recognition. Therefore, the system can show more humanized characteristics.

Claim (Index 14):
The speech recognition system according to  claim 13 , wherein,\n the manner in which the application interacts with the user through the speech recognition system further comprises: after the voice input by the user is converted into the text form by the voice recognition module, when the obtained text content matches the preset expression with semantic variables specific to the application program, the application is selected and passed into the corresponding intent name and intent variables, after the application is started, it will call the corresponding function according to the incoming intent name and intent variables.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 1.91176
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14909741', '13515811', '12689629', '10316588', '15425099']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2452188398422535
- 35 USC 102 Novelty (BERT): 0.5448877496929561
- Combined Prediction Score: 0.2751857308273238
- Mean Citation Score: 220.927776
- Max Citation Score: 383.06448
- Similarity Product: 295.11229986883166

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

Dataset: test