PATENT CLAIM ANALYSIS

Application Number: 15860706
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-11
Patent Classification: ["704", "232000"]

Abstract:
Embodiments of the present disclosure provide a method and a device for recognizing a speech based on a Chinese-English mixed dictionary. The method includes acquiring a Chinese-English mixed dictionary marked by an international phonetic alphabet, in which, the Chinese-English mixed dictionary includes a Chinese dictionary and an English dictionary revised by Chinglish; by taking the Chinese-English mixed dictionary as a training dictionary, taking a one-layer Convolutional Neural Network and a five-layer Long Short-Term Memory as a model, taking syllables or words as a target and taking a connectionist temporal classifier as a training criterion, training the model to obtain a trained CTC acoustic model; and performing a speech recognition on a Chinese-English mixed language based on the trained CTC acoustic model.

Claim (Index 15):
A non-transitory computer readable storage medium, configured to store computer programs, wherein when the computer programs are executed by a processor, a method for recognizing a speech based on a Chinese-English mixed dictionary is performed, the method comprising:\n acquiring a Chinese-English mixed dictionary marked by an International Phonetic Alphabet IPA, wherein, the Chinese-English mixed dictionary comprises a Chinese dictionary and an English dictionary revised by Chinglish; by taking the Chinese-English mixed dictionary as a training dictionary, taking a one-layer Convolutional Neural Network CNN and a five-layer Long Short-Term Memory LSTM as a model, taking syllables or words as a target and taking a Connectionist Temporal Classifier CTC as a training criterion, training the model to obtain a trained CTC acoustic model; and performing a speech recognition on a Chinese-English mixed language based on the trained CTC acoustic model.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.03125
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15859796', '10403747', '12698963', '10638750', '12248924']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2314432651836915
- 35 USC 102 Novelty (BERT): 0.6811137647454405
- Combined Prediction Score: 0.2764103151398664
- Mean Citation Score: 336.325832
- Max Citation Score: 679.56995
- Similarity Product: 670.0918190621733

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