Method and apparatus for evaluating audio distortion

Claim 1

An apparatus for evaluating an audio distortion in an audio system, wherein an input and an output audio signal from the audio system includes N samples, which comprises: first estimation means for estimating a power density spectrum of the input digital audio signal to the audio system, wherein the first estimation means include means for windowing the input audio signal to compensate for the lack of spectral selectivity at low frequency regions thereof and the power density spectrum of the input digital audio signal, X(k), is determined as follows: ##EQU6## wherein N is a positive integer, w(n)=x(n)·h(n), x(n) is the input digital audio signal, ω is 2πkn/N, k=0,1,2, . . . , N-1and n=0,1,2, . . . , N-1, and a weight factor for the windowing means, h(n), is represented as follows: h(n)=√8/3·1/2{1-cos (2πn/N)}; means for determining a masking threshold depending on the power density spectrum of the input digital audio signal; second estimation means for estimating a power density spectrum of an error signal representative of the difference between the input digital audio signal and its output digital audio signal from the audio system, wherein the second estimation means include means for windowing the error signal to compensate for the lack of spectral selectivity at low frequency regions thereof; and third estimation means for estimating a power density spectrum of the error signal which exceeds the masking threshold and for calculating a perceptual spectrum distance representative of the audio distortion, wherein the perceptual spectrum distance(PSD) is calculated as follows: ##EQU7## wherein E(k) is the power density spectrum of the error signal, and M(k) is the masking threshold, k=0,1, . . . , N-1.

Claim 2

An apparatus for evaluating an audio distortion in an audio system, wherein an input and an output audio signal from the audio system includes N samples, which comprises: first estimation means for estimating a power density spectrum of the input digital audio signal to the audio system, wherein the first estimation means include means for windowing the input audio signal to compensate for the lack of spectral selectivity at low frequency regions thereof and the power density spectrum of the input digital audio signal, X(k), is determined as follows: ##EQU6## wherein N is a positive integer, w(n)=x(n)·h(n), x(n) is the input digital audio signal, ω is 2πkn/N, k=0,1,2, . . . , N-1and n=0,1,2, . . . , N-1, and a weight factor for the windowing means, h(n), is represented as follows: h(n)=√8/3·1/2{1-cos (2πn/N)}; means for determining a masking threshold depending on the power density spectrum of the input digital audio signal; second estimation means for estimating a power density spectrum of an error signal representative of the difference between the input digital audio signal and its output digital audio signal from the audio system, wherein the second estimation means include means for windowing the error signal to compensate for the lack of spectral selectivity at low frequency regions thereof; and third estimation means for estimating a power density spectrum of the error signal which exceeds the masking threshold and for calculating a perceptual spectrum distance representative of the audio distortion, wherein the perceptual spectrum distance(PSD) is calculated as follows: ##EQU7## wherein E(k) is the power density spectrum of the error signal, and M(k) is the masking threshold, k=0,1, . . . , N-1.

Claim 4

A method for evaluating an audio distortion in an audio system, wherein an input and an output audio signal from the audio system include N samples, which comprises the steps of: estimating a power density spectrum of the input digital audio signal to the audio system, wherein the step of estimating the power density spectrum includes the step of windowing the input audio signal to compensate for the lake of spectral selectivity at low frequency region thereof, and the power density spectrum of the input audio signal, X(k), is determined as follows: ##EQU8## wherein N is a positive integer, w(n)=x(n)·h(n), x(n) is the input digital audio signal, ω is 2πkn/N, k=0,1,2, . . . , N-1, n=0,1,2, . . . , N-1, and a weight factor, h(n), for the windowing step is represented as follows: h(n)=√8/3·1/2{1-cos (2πn/N)}; determining a masking threshold depending on the power density spectrum of the input audio signal; estimating a power density spectrum of an error signal representative of the difference between the input digital audio signal and its output digital audio signal from the audio system, wherein the step of estimating the power density spectrum includes the step of windowing the error signal to compensate for the lake of pectral selectivity at low frequency region thereof; and estimating a power density spectrum of the error signal which exceeds the masking threshold and calculating a perceptual spectrum distance representative of the audio distortion wherein the perceptual spectrum distance(PSD) is calculated as follows: ##EQU9## wherein E(k) is the power density spectrum of the error signal, M(k) is the masking threshold, i=0,1,2, . . . , N-1 and N is a positive integer.

Claim 5

A method for evaluating an audio distortion in an audio system, wherein an input and an output audio signal from the audio system include N samples, which comprises the steps of: estimating a power density spectrum of the input digital audio signal to the audio system, wherein the step of estimating the power density spectrum includes the step of windowing the input audio signal to compensate for the lake of spectral selectivity at low frequency region thereof, and the power density spectrum of the input audio signal, X(k), is determined as follows: ##EQU8## wherein N is a positive integer, w(n)=x(n)·h(n), x(n) is the input digital audio signal, ω is 2πkn/N, k=0,1,2, . . . , N-1, n=0,1,2, . . . , N-1, and a weight factor, h(n), for the windowing step is represented as follows: h(n)=√8/3·1/2{1-cos (2πn/N)}; determining a masking threshold depending on the power density spectrum of the input audio signal; estimating a power density spectrum of an error signal representative of the difference between the input digital audio signal and its output digital audio signal from the audio system, wherein the step of estimating the power density spectrum includes the step of windowing the error signal to compensate for the lake of pectral selectivity at low frequency region thereof; and estimating a power density spectrum of the error signal which exceeds the masking threshold and calculating a perceptual spectrum distance representative of the audio distortion wherein the perceptual spectrum distance(PSD) is calculated as follows: ##EQU9## wherein E(k) is the power density spectrum of the error signal, M(k) is the masking threshold, i=0,1,2, . . . , N-1 and N is a positive integer.