PATENT CLAIM ANALYSIS

Application Number: 16051672
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["704", "200000"]

Abstract:
The present disclosure provides a far field speech acoustic model training method and system. The method comprises: blending near field speech training data with far field speech training data to generate blended speech training data, wherein the far field speech training data is obtained by performing data augmentation processing for the near field speech training data; using the blended speech training data to train a deep neural network to generate a far field recognition acoustic model. The present disclosure can avoid the problem of spending a lot of time costs and economic costs in recording the far field speech data in the prior art; and reduce time and economic costs of obtaining the far field speech data, and improve the far field speech recognition effect.

Claim (Index 16):
The computer readable storage medium according to  claim 14 , wherein the performing noise addition processing for data obtained after the filtration processing comprises:\n selecting noise data; using a signal-to-noise ratio SNR distribution function, to superimpose said noise data in the data obtained after the filtration processing.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 96.0
- Lexical Diversity: 2.2931
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15934566', '15042309', '15231909', '15980208', '15344110']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2725125736207811
- 35 USC 102 Novelty (BERT): 0.5108860608958382
- Combined Prediction Score: 0.2963499223482868
- Mean Citation Score: 247.22745
- Max Citation Score: 252.8502
- Similarity Product: 169.34563148603442

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

Dataset: test