Adding a sound effect to voice or sound by adding subharmonics

• US 8,433,073 B2
• Filed: 06/22/2005
• Issued: 04/30/2013
• Est. Priority Date: 06/24/2004
• Status: Active Grant

• Current Assignee: Yamaha Corporation
• Original Assignee: Yamaha Corporation
• Inventors: Yoshioka, Yasuo, Loscos, Alex
• Primary Examiner(s): Shah, Paras D
• Application Number:
  US11/159,032
• Publication Number:
  US 20050288921A1
• Time in Patent Office: 2,869 Days
• Field of Search: 704/270, 704/278, 704/200, 381/61, 381/62, 846/09, 846/10, 846/11, 846/12, 846/13, 846/14, 846/15, 846/16, 846/26
• US Class Current: 381/61
• CPC Class Codes: G10H 1/0091 Means for obtaining special acoustic effects combined with modulation G10H1/043
• CPC Class Codes: G10H 1/10 for obtaining chorus, celeste or ensemble effects continuous modulation G10H1/043
• CPC Class Codes: G10H 2210/155 Musical effects
• CPC Class Codes: G10H 2250/235 Fourier transform; Discrete Fourier Transform [DFT]; Fast Fourier Transform [FFT]
• CPC Class Codes: G10L 21/003 Changing voice quality, e.g. pitch or formants

Abstract

In a sound effect applying apparatus, an input part frequency-analyzes an input signal of sound or voice for detecting a plurality of local peaks of harmonics contained in the input signal. A subharmonics provision part adds a spectrum component of subharmonics between the detected local peaks so as to provide the input signal with a sound effect. An output part converts the input signal of a frequency domain containing the added spectrum component into an output signal of a time domain for generating the sound or voice provided with the sound effect.

Claims

1. A computer-implemented method for use in a sound effect applying apparatus, the computer-implemented method, when executed by the sound effect applying apparatus, comprising the steps of:

receiving an input signal of sound or voice;

frequency analyzing the input signal to obtain a frequency spectrum of the input signal;

detecting local peaks of a pitch frequency and harmonic frequencies thereof contained in the input signal;

respectively adding a plurality of new spectrum components which are positioned between at least two adjacent pairs of the detected local peaks of the pitch frequency and the harmonic frequencies thereof in the input signal and which are arranged at equal frequency intervals between each adjacent pair of the detected local peaks, the frequency fki, for the kth spectrum component added for the ith detected local peak being determined by the equation;

fki=(i+1)×

pitch_syn+(k+1)×

(1/(n+1))×

pitch,

where n is an integer number of new spectrum components added between adjacent pairs of the detected local peaks, n≧

2, k is an integer, 0≦

k<

n−

1, i is an integer, i≧

0, pitch_syn represents a synthesized pitch at the pitch frequency, and pitch represents an input pitch at the pitch frequency

so that a distortion effect is imparted to the input signal to generate a sound-effect imparted signal while preserving relative magnitudes of the detected local peaks of the pitch frequency and the harmonic frequencies thereof; and

converting the sound-effect imparted signal to a time domain output signal.

2. The method according to claim 1, wherein new spectrum components are added to the input signal at frequency positions 1.5 times and 2.5 times the pitch frequency.

3. The method according to claim 1, wherein at least one of the new spectrum components is a variable spectrum component having a magnitude which varies irregularly.

4. The method according to claim 3, wherein the variable spectrum component is a mixture of a plurality of spectrum components which have the same frequency but a phase difference which varies irregularly.

5. The method according to claim 3, wherein the magnitude of the variable spectrum component changes in accordance with a magnitude of the input signal.

6. The method according to claim 5, wherein the magnitude of the variable spectrum component increases as the magnitude of the input signal increases and is held when the magnitude of the input signal exceeds a given level.

7. The method according to claim 1, wherein at least one of the new spectrum components has a parameter which varies in accordance with the pitch frequency, the parameter being at least one of a type, a frequency or a magnitude of the at least one new spectrum component.

8. The method according to claim 1, wherein the plurality of new spectrum components have magnitudes which vary in accordance with a magnitude of the input signal.

9. The method according to claim 8, wherein the magnitudes of the plurality of new spectrum components increase as the magnitude of the input signal increases and is held when the magnitude of the input signal exceeds a given level.

10. The method according to claim 1, wherein at least two of the plurality of new spectrum components each has a parameter which varies in accordance with the pitch frequency, the parameter being at least one of a type, a frequency or a magnitude of the new spectrum components.

11. The method according to claim 1, wherein the new spectrum components are sine-wave spectrum components.

12. The method according to claim 1, wherein the new spectrum components are triangular-wave spectrum components.

13. A computer-implemented method for use in a sound effect applying apparatus, the computer-implemented method, when executed by the sound effect applying apparatus, comprising the steps of:

receiving an input signal of sound or voice;

frequency analyzing the input signal to obtain a frequency spectrum of the input signal;

detecting local peaks of a pitch frequency and harmonic frequencies thereof contained in the input signal;

respectively adding, between at least two adjacent pairs of harmonic frequencies of the input signal, a plurality of new spectrum components arranged at equal frequency intervals between each adjacent pair of harmonic frequencies to impart a distortion effect to the input signal, the frequency fki, for the kth spectrum component added for the ith detected local peak being determined by the equation;

fki=(i+1)×

pitch_syn+(k+1)×

(1/(n+1))×

pitch,

where n is an integer number of new spectrum components added between adjacent pairs of the detected local peaks, n≧

2, k is an integer, 0≦

k<

n−

1, i is an integer, i≧

0, pitch_syn represents a synthesized pitch at the pitch frequency, and pitch represents an input pitch at the pitch frequency; and

converting the input signal to which the distortion effect is imparted to a time domain output signal.