PATENT CLAIM ANALYSIS

Application Number: 15905728
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["704", "260000"]

Abstract:
A system and method are presented for outlier identification to remove poor alignments in speech synthesis. The quality of the output of a text-to-speech system directly depends on the accuracy of alignments of a speech utterance. The identification of mis-alignments and mis-pronunciations from automated alignments may be made based on fundamental frequency methods and group delay based outlier methods. The identification of these outliers allows for their removal, which improves the synthesis quality of the text-to-speech system.

Claim (Index 13):
The method of  claim 9 , wherein the criteria comprises a failed alignment.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 88.0
- Lexical Diversity: 1.64
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14737080', '13959171', '15850106', '14069492', '14069510']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3278386672502588
- 35 USC 102 Novelty (BERT): 0.5689221387332087
- Combined Prediction Score: 0.3519470143985538
- Mean Citation Score: 342.299508
- Max Citation Score: 599.50775
- Similarity Product: 335.0176410583257

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

Dataset: test