PATENT CLAIM ANALYSIS

Application Number: 16009910
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["704", "235000"]

Abstract:
Provided herein is a method of automatically evaluating non-native speakers' pronunciation proficiency, wherein an input speech signal is received, the speech recognition module transcribes it into a text; the text is converted into a segmental string with temporal information for each phone; in the key module of feature extraction, nine features of speech rhythm and fluency are computed; and then all feature values are integrated into an overall pronunciation proficiency score. This method can be applied to both types of non-native speech input: read-aloud speech and spontaneous speech.

Claim (Index 6):
The automatic system of  claim 1 , wherein the feature [NUMbp] is computed through Formula 5:\n NUMbp= C (PAUbp)\u2003\u2003<Formula 5> wherein, C( ) is counting function\n PAUbp is between-word pause.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 94.0
- Lexical Diversity: 1.50769
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['10945150', '11678508', '13755790', '12628611', '15054128']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2728829709429215
- 35 USC 102 Novelty (BERT): 0.5206259240420795
- Combined Prediction Score: 0.2976572662528373
- Mean Citation Score: 256.856596
- Max Citation Score: 271.3906
- Similarity Product: 163.49724852415326

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

Dataset: test