Voiced sound interval detection device, voiced sound interval detection method and voiced sound interval detection program

1. A voiced sound interval detection device comprising:

circuitry configured to:

calculate, from a power spectrum time series of voice signals collected by a plurality of microphones, a multidimensional vector series as a vector series of a power spectrum having as many dimensions as the number of said microphones;

cluster said multidimensional vector series;

calculate, at each time of said multidimensional vector series sectioned by an arbitrary time length, a center vector of a noise cluster and a center vector of a cluster to which a vector of said voice signal at the time in question belongs and after projecting the center vector of said noise cluster and the vector of said voice signal at the time in question toward a direction of the center vector of the cluster to which the vector of said voice signal at the time in question belongs, calculate a signal noise ratio as a voiced sound index; and

determine whether the vector of said voice signal is in a voiced sound interval or a voiceless sound interval by comparing said voiced sound index with a predetermined threshold value for executing voice recognition of the voice signals collected by the plurality of microphones.

2. The voiced sound interval detection device according to claim 1 , wherein said circuitry executes stochastic clustering, and

calculates an expected value of said voiced sound index from said clustering result.

3. The voiced sound interval detection device according to claim 1 , wherein said multidimensional vector series is a vector series of a logarithm power spectrum.

4. A voiced sound interval detection method of a voiced sound interval detection device which detects a voiced sound interval from voice signals collected by a plurality of microphones, comprising: by circuitry,

calculating, from a power spectrum time series of voice signals collected by a plurality of microphones, a multidimensional vector series as a vector series of a power spectrum having as many dimensions as the number of said microphones;

clustering said multidimensional vector series; a voiced sound index calculation step of calculating, at each time of said multidimensional vector series sectioned by an arbitrary time length, a center vector of a noise cluster and a center vector of a cluster to which a vector of said voice signal at the time in question belongs and after projecting the center vector of said noise cluster and the vector of said voice signal at the time in question toward a direction of the center vector of the cluster to which the vector of said voice signal at the time in question belongs, calculating a signal noise ratio as a voiced sound index; and

determining whether the vector of said voice signal is in a voiced sound interval or a voiceless sound interval by comparing said voiced sound index with a predetermined threshold value for executing voice recognition of the voice signals collected by the plurality of microphones.

5. The voiced sound interval detection method according to claim 4 , wherein stochastic clustering, and

calculating an expected value of said voiced sound index from said clustering result.

6. The voiced sound interval detection method according to claim 4 , wherein said multidimensional vector series is a vector series of a logarithm power spectrum.

7. A storage device storing a voiced sound interval detection program operable on a computer which functions as a voiced sound interval detection device that detects a voiced sound interval from voice signals collected by a plurality of microphones, wherein said voiced sound interval detection program causes said computer to execute:

a vector calculation processing of calculating, from a power spectrum time series of voice signals collected by a plurality of microphones, a multidimensional vector series as a vector series of a power spectrum having as many dimensions as the number of said microphones;

a clustering processing of clustering said multidimensional vector series;

a voiced sound index calculation processing of calculating, at each time of said multidimensional vector series sectioned by an arbitrary time length, a center vector of a noise cluster and a center vector of a cluster to which a vector of said voice signal at the time in question belongs and after projecting the center vector of said noise cluster and the vector of said voice signal at the time in question toward a direction of the center vector of the cluster to which the vector of said voice signal at the time in question belongs, calculating a signal noise ratio as a voiced sound index; and

a voiced sound interval determination processing of determining whether the vector of said voice signal is in a voiced sound interval or a voiceless sound interval by comparing said voiced sound index with a predetermined threshold value for executing voice recognition of the voice signals collected by the plurality of microphones.

8. The storage device according to claim 7 , wherein

said clustering processing includes stochastic clustering, and

said voiced sound index calculation processing includes calculating an expected value of said voiced sound index from said clustering result.

9. The storage device according to claim 7 , wherein said multidimensional vector series is a vector series of a logarithm power spectrum.