PATENT CLAIM ANALYSIS

Application Number: 15575512
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-07
Patent Classification: ["704", "232000"]

Abstract:
[Object] An object is to provide a speech recognition device with improved recognition accuracy using characteristics of a neural network. [Solution] A speech recognition device includes: an acoustic model  308  implemented by a RNN (recurrent neural network) for calculating, for each state sequence, the posterior probability of a state sequence in response to an observed sequence consisting of prescribed speech features obtained from a speech; a WFST  320  based on S −1 HCLG calculating, for each word sequence, posterior probability of a word sequence in response to a state sequence; and a hypothesis selecting unit  322 , performing speech recognition of the speech signal based on a score calculated for each hypothesis of a word sequence corresponding to the speech signal, using the posterior probabilities calculated by the acoustic model  308  and the WFST  320  for the input observed sequence.

Claim (Index 6):
A non-transitory, computer readable medium having stored thereon a computer program causing a computer to function as all means described in  claim 1 .

Metadata:
- Claim Count in Document: 5.0
- Percentile: 91.0
- Lexical Diversity: 2.13699
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15331311', '15570801', '11794356', '15332000', '12732700']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2688164632037519
- 35 USC 102 Novelty (BERT): 0.5104043068687691
- Combined Prediction Score: 0.2929752475702536
- Mean Citation Score: 240.36201
- Max Citation Score: 264.6296
- Similarity Product: 188.5547194473744

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