PATENT CLAIM ANALYSIS

Application Number: 15745307
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-01
Patent Classification: ["704", "258000"]

Abstract:
This invention discloses a speech analysis/synthesis method and a simplified form of such a method. Based on a harmonic model, the present method decomposes the parameters of the harmonic model into glottal source characteristics and vocal tract characteristics in its analysis stage and recombines the glottal source and vocal tract characteristics into harmonic model parameters in its synthesis stage.

Claim (Index 4):
A speech synthesis method based on a harmonic model, the synthesis method comprising:\n a) recombining decomposed glottal source and vocal tract characteristics, converting the glottal source and vocal tract characteristics into parameters of the harmonic model, the glottal source characteristics comprising an amplitude vector and a phase vector, both related to harmonics, computing a vocal tract phase response from a vocal tract magnitude response, computing the vocal tract phase response comprising using homomorphic filtering based on the minimum-phase assumption; b) computing a product of the vocal tract magnitude response and the amplitude vector of the glottal source at the frequency of each harmonic, obtaining an amplitude vector of speech harmonics, computing a sum of the phase vector of glottal source harmonics and the vocal tract phase response, obtaining the phase vector of speech harmonics; and c) generating a speech signal from a fundamental frequency and the amplitude and phase vectors of the speech harmonics.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 86.0
- Lexical Diversity: 1.82353
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12061645', '13603226', '09475390', '12447519', '13017458']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2503848343047134
- 35 USC 102 Novelty (BERT): 0.4994547352640058
- Combined Prediction Score: 0.2752918244006427
- Mean Citation Score: 244.04972400000003
- Max Citation Score: 262.1518
- Similarity Product: 210.84421090664856

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