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 5):
The speech recognition system according to  claim 2 , the registration center further comprises application program nodes; and the application program nodes represent the application programs and store preset expressions with semantic variables that are not used in the class nodes of the registration center, and the preset expressions are mapped to a specific function set inside the application programs, when the text content obtained from the voice recognition module matches a preset expression with semantic variables of a certain application node, the application program represented by this application program node is started by the speech recognition system and calls the specific function to which the matching preset expression is mapped 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): 0.2450898129135933
- 35 USC 102 Novelty (BERT): 0.5450063067077245
- Combined Prediction Score: 0.2750814622930064
- Mean Citation Score: 220.927776
- Max Citation Score: 383.06448
- Similarity Product: 300.39588220593447

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