PATENT CLAIM ANALYSIS

Application Number: 15765842
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["704", "244000"]

Abstract:
An electronic device, a method for adapting an acoustic model thereof, and a voice recognition system are provided. According to one embodiment of the present invention, the electronic device comprises: a voice input unit for receiving a voice signal of a user; a storage unit for storing, therein, a transformer having a plurality of transformation parameters and an acoustic model having a parameter transformed by the transformer; and a control unit for generating a hypothesis from the received voice signal by using the acoustic model, estimating, by using the hypothesis, an optimal transformer having an optimal transformation parameter on which a voice feature of the user is reflected, and updating the plurality of transformation parameters of the transformer stored in the storage unit by combining the estimated optimal transformer with the transformer.

Claim (Index 4):
The electronic device of  claim 3 , wherein the control unit generates a plurality of hypothesis regarding the received voice signal, sets a hypothesis having highest matching ratio of the voice signal from among the plurality of hypothesis as a reference hypothesis and sets remaining hypothesis as a competitive hypothesis.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 91.0
- Lexical Diversity: 2.24615
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['10728106', '11428663', '11034535', '12470086', '11884473']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.240793861422513
- 35 USC 102 Novelty (BERT): 0.4892196215084741
- Combined Prediction Score: 0.2656364374311091
- Mean Citation Score: 161.14401999999995
- Max Citation Score: 168.51933
- Similarity Product: 115.00967237453165

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

Dataset: test