PATENT CLAIM ANALYSIS

Application Number: 15916512
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-03
Patent Classification: ["704", "232000"]

Abstract:
A speech signal recognition method, apparatus, and system. The speech signal recognition method may include obtaining by or from a terminal an output of a personalization layer, with respect to a speech signal provided by a user of the terminal, having been implemented by input of the speech signal to the personalization layer, the personalization layer being previously trained based on speech features of the user, implementing a global model by providing the obtained output of the personalization layer to the global model, the global model being configured to output a phonemic signal indicating a phoneme included in the speech signal through the global model being previously trained based on speech features common to a plurality of users, and re-training the personalization layer based on the phonemic signal output from the global model, where the personalization layer and the global model collectively represent an acoustic model.

Claim (Index 9):
The method of  claim 8 , wherein a combination of implementation of the personalization layer and of implementation of the global model collectively represents an implementation of a personalized acoustic model trained based on the speech features of the user and the speech features common to the plurality of users, and a combination of implementation of another personalization of another user and another implementation of the global model collectively represent an implementation of a different personalized acoustic model.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 90.0
- Lexical Diversity: 2.61667
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15862935', '15855456', '15205515', '14720113', '14103775']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3075702884134998
- 35 USC 102 Novelty (BERT): 0.48957908925242
- Combined Prediction Score: 0.3257711684973918
- Mean Citation Score: 235.628402
- Max Citation Score: 237.2096
- Similarity Product: 182.89939606018064

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

Dataset: test