IP Library › Granted Patent US 10,276,186
Granted Patent B2
US 10,276,186 · App. 15/544,452 · Granted Apr 30, 2019

Parameter determination device, method, program and recording medium for determining a parameter indicating a characteristic of sound signal

Inventors: Takehiro Moriya (Atsugi, JP); Yutaka Kamamoto (Atsugi, JP); Noboru Harada (Atsugi, JP); Hirokazu Kameoka (Atsugi, JP); Ryosuke Sugiura (Bunkyo-ku, JP)
Assignees: NIPPON TELEGRAPH AND TELEPHONE CORPORATION; The University of Tokyo
G10L25/18G10L19/02G10L19/038G10L19/07G10L19/16G10L25/03G10L25/21H03M7/30G10H2250/225G10H2250/575
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Quick Facts
Patent No.
US 10,276,186
App. No.
15/544,452
Granted
Apr 30, 2019
Kind
B2
Abstract

A parameter determination device includes: a spectral envelope estimating portion performing estimation of a spectral envelope using a parameter η 0 specified in a predetermined method, regarding the η 0 -th power of absolute values of a frequency domain sample sequence corresponding to a time-series signal as a power spectrum on the assumption that the parameter η 0 and a parameter η are positive numbers; a whitened spectral sequence generating portion obtaining a whitened spectral sequence which is a sequence obtained by dividing the frequency domain sample sequence by the spectral envelope; and a parameter acquiring portion determining such a parameter η that generalized Gaussian distribution with the parameter η as a shape parameter approximates a histogram of the whitened spectral sequence.

Claims (306)

1. A parameter determination device comprising:

processing circuitry configured to:

receive a time domain sound signal as a time-series signal;

perform estimation of a spectral envelope using a parameter η 0 specified in a predetermined method, regarding the η 0 -th power of absolute values of a frequency domain sample sequence corresponding to the time-series signal as a power spectrum on the assumption that the parameter η 0 and a parameter η are positive numbers;

obtain a whitened spectral sequence which is a sequence obtained by dividing the frequency domain sample sequence by the spectral envelope; and

determine, as a parameter representing the characteristic of the time-series signal, such a parameter η that generalized Gaussian distribution with the parameter η as a shape parameter approximates a histogram of the whitened spectral sequence.

2. The parameter determination device according to claim 1 , wherein processes of the processing circuitry in which the parameter η determined by the processing circuitry is caused to be the parameter η 0 specified in the predetermined method, are further performed once or more times.

3. The parameter determination device according to claim 1 or 2 , wherein the processing circuitry determines the parameter η based on a value of m q1 , which is a q1-th order moment of the whitened spectral sequence, and a value of m q2 , which is a q2-th order moment of the whitened spectral sequence, on the assumption that q1 and q2 are predetermined different positive integers.

4. The parameter determination device according to claim 3 , wherein, on the assumption that N is a predetermined positive number, that k=0,1, . . . , N−1 is satisfied, that each value of the whitened spectral sequence is indicated by X W (k), that Γ is a gamma function, and that F −1 is an inverse function of a function F, η determined by the parameter acquiring portion is defined by the following expression:

[

Expression

⁢

⁢

15

]

⁢

η

=

F

′

-

1

⁡

(

m

q

1

(

m

q

2

)

q

1

/

q

2

)

F

′

⁡

(

η

)

=

Γ

⁡

(

(

q

1

+

1

)

/

η

)

(

Γ

⁡

(

1

/

η

)

)

1

-

q

1

/

q

2

⁢

(

Γ

⁡

(

(

q

2

+

1

)

/

η

)

)

q

1

/

q

2

m

q

1

=

1

N

⁢

∑

k

=

0

N

-

1

⁢

⁢

X

W

⁡

(

k

)

q

1

,

⁢

m

q

2

=

1

N

⁢

∑

k

=

0

N

-

1

⁢

⁢

X

W

⁡

(

k

)

q

2

.

5. The parameter determination device according to claim 4 , wherein the processing circuitry calculates m q1 /((m q2 ) q1/q2 ) based on the whitened spectral sequence and, by referring to a plurality of different pairs of η and F(η) corresponding to η prepared in advance, obtains η corresponding to F(η) closest to the calculated m q1 /((m q2 ) q1/q2 ).

6. The parameter determination device according to claim 4 , wherein, on the assumption that an approximate curve function of the inverse function F −1 is ˜F −1 , the processing circuitry calculates m q1 /((m q2 ) q1/q2 ) based on the whitened spectral sequence and determines η by calculating an output value when the calculated m q1 /((m q2 ) q1/q2 ) is inputted to the approximate curve function ˜F −1 .

7. The parameter determination device according to claim 1 , wherein

the parameter determination device determines the parameter η for each frame; and

the parameter η 0 specified in the predetermined method for a frame for which the parameter η is to be determined currently is η determined for a frame before the frame for which the parameter η is to be determined currently.

8. A non-transitory computer-readable recording medium in which a program for causing a computer to function as each portion of the parameter determination device according to claim 1 is recorded.

9. The parameter determination method, implemented by a parameter determination device, comprising:

receiving, by processing circuitry of the parameter determination device, a time domain sound signal as a time-series signal;

a spectral envelope estimating step, by the processing circuitry, of performing estimation of a spectral envelope using a parameter η 0 specified in a predetermined method, regarding the η 0 -th power of absolute values of a frequency domain sample sequence corresponding to the time-series signal as a power spectrum on the assumption that the parameter η 0 and a parameter η are positive numbers;

a whitened spectral sequence generating step, by the processing circuitry, of obtaining a whitened spectral sequence which is a sequence obtained by dividing the frequency domain sample sequence by the spectral envelope; and

a parameter acquiring step, by the processing circuitry, of determining, as a parameter representing the characteristic of the time-series signal, such a parameter η that generalized Gaussian distribution with the parameter η as a shape parameter approximates a histogram of the whitened spectral sequence.

10. The parameter determination method according to claim 9 , wherein processes of the spectral envelope estimating step, the whitened spectral sequence generating step and the parameter acquiring step, in which the parameter η determined by the parameter acquiring portion is caused to be the parameter η 0 specified in the predetermined method, are further performed once or more times.

11. The parameter determination method according to claim 9 or 10 , wherein the parameter acquiring step includes determining the parameter η based on a value of m q1 , which is a q1-th order moment of the whitened spectral sequence, and a value of m q2 , which is a q2-th order moment of the whitened spectral sequence, on the assumption that q1 and q2 are predetermined different positive integers.

12. The parameter determination method according to claim 11 , wherein, on the assumption that N is a predetermined positive number, that k=0,1, . . . , N−1 is satisfied, that each value of the whitened spectral sequence is indicated by X W (k), that Γ is a gamma function, and that F −1 is an inverse function of a function F, η determined by the parameter acquiring portion is defined by the following expression:

[

Expression

⁢

⁢

16

]

⁢

η

=

F

′

-

1

⁡

(

m

q

1

(

m

q

2

)

q

1

/

q

2

)

F

′

⁡

(

η

)

=

Γ

⁡

(

(

q

1

+

1

)

/

η

)

(

Γ

⁡

(

1

/

η

)

)

1

-

q

1

/

q

2

⁢

(

Γ

⁡

(

(

q

2

+

1

)

/

η

)

q

1

/

q

2

)

m

q

1

=

1

N

⁢

∑

k

=

0

N

-

1

⁢

⁢

X

W

⁡

(

k

)

q

1

,

⁢

m

q

2

=

1

N

⁢

∑

k

=

0

N

-

1

⁢

⁢

X

W

⁡

(

k

)

q

2

.

13. The parameter determination method according to claim 12 , wherein the parameter acquiring step includes calculating m q1 /((m q2 ) q1/q2 ) based on the whitened spectral sequence and, by referring to a plurality of different pairs of η and F(η) corresponding to η prepared in advance, obtains η corresponding to F(η) closest to the calculated m q1 /((m q2 ) q1/q2 ).

14. The parameter determination method according to claim 12 , wherein, on the assumption that an approximate curve function of the inverse function F −1 is ˜F −1 , the parameter acquiring step includes calculating m q1 /((m q2 ) q1/q2 ) based on the whitened spectral sequence and determines η by calculating an output value when the calculated m q1 /((m g2 ) q1/q2 ) is inputted to the approximate curve function ˜F − 1.

15. The parameter determination method according to claim 9 , wherein

the parameter determination method determines the parameter η for each frame; and

the parameter η 0 specified in the predetermined method for a frame for which the parameter η is to be determined currently is η determined for a frame before the frame for which the parameter η is to be determined currently.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 18, 2017
From: MORIYA, TAKEHIRO; KAMAMOTO, YUTAKA; HARADA, NOBORU; KAMEOKA, HIROKAZU; SUGIURA, RYOSUKE
To: NIPPON TELEGRAPH AND TELEPHONE CORPORATION; THE UNIVERSITY OF TOKYO
Reel/Frame 043035/0544 →
Priority Claims (1)
JP 2015-017690 · Jan 30, 2015 · national
Continuity (1)
Related Publication 20180268843A1 · Sep 20, 2018
Cited By (1)
US 12,424,227