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 17):
The terminal of  claim 14 ,\n wherein the speech signal collector is configured to selectively store the speech signal based on a determination of an accuracy of the text signal, and wherein the processor is further configured to: obtain the global model from a speech signal recognition server with respective communication with respective plural terminals of the plurality of users, including the terminal, and configured to store the global model; obtain an acoustic model, configured to output the determined phonemic signal from the speech signal, by combining the personalization layer with the obtained global model; and obtain an updated personalization layer having been re-trained based on corresponding speech features of the user, the re-training of the personalization layer including re-training the obtained acoustic model based on the stored speech signal.

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): 0.3075575658398979
- 35 USC 102 Novelty (BERT): 0.4896440217006486
- Combined Prediction Score: 0.325766211425973
- Mean Citation Score: 235.628402
- Max Citation Score: 237.2096
- Similarity Product: 182.75214052124025

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

Dataset: test