PATENT CLAIM ANALYSIS

Application Number: 16079383
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["704", "278000"]

Abstract:
A voice conversion device includes: a parameter learning unit in which a probabilistic model that uses speech information, speaker information, and phonological information as variables to thereby express relationships among binding energies between any two of the speech information, the speaker information and the phonological information by parameters is prepared, wherein the speech information is obtained based on a speech, the speaker information corresponds to the speech information, and the phonological information expresses the phoneme of the speech, and in which the parameters are determined by performing learning by sequentially inputting the speech information and the speaker information into the probabilistic model; and a voice conversion processing unit that performs voice conversion processing of the speech information obtained on the basis of the speech of an input speaker, based both on the parameters determined by the parameter learning unit and on the speaker information of a target speaker.

Claim (Index 2):
The voice conversion device according to  claim 1 ,\n wherein the parameters are composed of seven parameters which are M, V, U, A, b, c and \u03c3, wherein M expresses the degree of the relationship between the speech information and the phonological information, V expresses the degree of the relationship between the phonological information and the speaker information, U expresses the degree of the relationship between the speaker information and the speech information, A represents a set of projection matrix determined by the speaker information, b represents a bias of the speech information, c represents a bias of the speech information, and \u03c3 represents the deviation of the speech information, and wherein the seven parameters are related to each other by the following Formulas (A) to (D) where v represents the speech information, h represents the phonological information, and s represents the speaker information. E \ue8a0 ( v , h , s ) = 1 2 \ue89e v \u22a4 \ue89e v _ - b \u22a4 \ue89e v _ - c \u22a4 \ue89e h - h \u22a4 \ue89e Vs - s \u22a4 \ue89e U \ue89e v _ - v _ \u22a4 \ue89e A s \ue89e Mh , ( A ) p \ue8a0 ( v | h , s ) = \ue52d \ue8a0 ( v | b + U \u22a4 \ue89e s + A s \ue89e Mh , \u03c3 2 ) ( B ) p \ue8a0 ( h | s , v ) = \u212c \ue8a0 ( h | f \ue8a0 ( c + Vs + M \u22a4 \ue89e A s \u22a4 \ue89e v _ ) ) ( C ) p \ue8a0 ( s | v , h ) = \u212c \ue8a0 ( s | f \ue8a0 ( U \ue89e v _ + V \u22a4 \ue89e h + [ v _ \u22a4 \ue89e A k ] \ue89e Mh ) ) ( D )

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 2.56452
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11533122', '14606089', '12017740', '12505684', '13253683']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2496012642697787
- 35 USC 102 Novelty (BERT): 0.4968163820197117
- Combined Prediction Score: 0.274322776044772
- Mean Citation Score: 187.208382
- Max Citation Score: 215.44493
- Similarity Product: 154.4701768396765

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

Dataset: test