PATENT CLAIM ANALYSIS

Application Number: 15982326
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["704", "259000"]

Abstract:
A technique improves training and speech quality of a text-to-speech (TTS) system having an artificial intelligence, such as a neural network. The TTS system is organized as a front-end subsystem and a back-end subsystem. The front-end subsystem is configured to provide analysis and conversion of text into input vectors, each having at least a base frequency, f 0 , a phenome duration, and a phoneme sequence that is processed by a signal generation unit of the back-end subsystem. The signal generation unit includes the neural network interacting with a pre-existing knowledgebase of phenomes to generate audible speech from the input vectors. The technique applies an error signal from the neural network to correct imperfections of the pre-existing knowledgebase of phenomes to generate audible speech signals. Speech signal specific modelling techniques in combination with applied psychoacoustic principles drive training efficiency of neural networks with positive impact on quality of generated speech signals.

Claim (Index 18):
The method of processing text-to-speech of  claim 17  wherein the principal component analysis is based on lossy modelling.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 1.87356
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13686140', '11909514', '15203761', '15203758', '15236336']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2751075881832933
- 35 USC 102 Novelty (BERT): 0.5129312559881173
- Combined Prediction Score: 0.2988899549637757
- Mean Citation Score: 253.56131
- Max Citation Score: 256.91046
- Similarity Product: 168.77349764879466

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