PATENT CLAIM ANALYSIS

Application Number: 16272130
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["704", "266000"]

Abstract:
A system and method are presented for forming the excitation signal for a glottal pulse model based parametric speech synthesis system. The excitation signal may be formed by using a plurality of sub-band templates instead of a single one. The plurality of sub-band templates may be combined to form the excitation signal wherein the proportion in which the templates are added is dynamically based on determined energy coefficients. These coefficients vary from frame to frame and are learned, along with the spectral parameters, during feature training. The coefficients are appended to the feature vector, which comprises spectral parameters and is modeled using HMMs, and the excitation signal is determined.

Claim (Index 1):
A method performed by a processing circuit for identification of sub-band Eigen pulses from a glottal pulse database for training a speech synthesis system, wherein the method comprises:\n a. receiving pulses from the glottal pulse database; b. decomposing each pulse into a plurality of sub-band components; c. distributing the plurality of sub-band components into a plurality of databases based on a frequency level of sub-band component of the plurality of sub-band components, wherein each database of the plurality of databases corresponds to a frequency level of a sub-band component of the plurality of sub-band components; d. determining a vector representation of each database; e. determining Eigen pulse values, from the vector representation, for each database; f. selecting a best Eigen pulse for each database for use in synthesis; and g. applying the selected Eigen pulse from the speech signal to form an excitation signal, wherein the excitation signal is applied in the speech synthesis system to synthesize speech.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 99.0
- Lexical Diversity: 1.81538
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14875778', '14288745', '15612898', '13264571', '12475011']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2608851161508657
- 35 USC 102 Novelty (BERT): 0.5323861677547647
- Combined Prediction Score: 0.2880352213112556
- Mean Citation Score: 248.76097600000003
- Max Citation Score: 351.1747
- Similarity Product: 305.7110452763438

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