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 4):
The speech recognition system according to  claim 1 , wherein the class nodes of the registration center are related to geographical location, and the application programs that belong to the class nodes and inherit the class nodes will have a priority, the speech recognition system will record the number of times the application programs are used and the geographical location where the user is located when the application programs are used, the application programs that are used most frequently in a certain area will obtain the highest priority in this area; if the text content obtained from the voice recognition module matches the preset expression of the class nodes, but the matching preset expression with semantic variables does not specify an application name, the speech recognition system will select an application with the highest priority in the area where the user is currently located.

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): 0.2451236192936366
- 35 USC 102 Novelty (BERT): 0.5449752520211227
- Combined Prediction Score: 0.2751087825663852
- Mean Citation Score: 220.927776
- Max Citation Score: 383.06448
- Similarity Product: 299.01214608750337

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