Method and system for measuring a system's transmission quality

US 7,689,406 B2
Filed: 02/26/2003
Issued: 03/30/2010
Est. Priority Date: 03/08/2002
Status: Expired due to Fees

First Claim

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1. A method for use in a system that measures, through use of a psychoacoustic model of human perception, transmission quality of an output speech signal (Y) produced by an audio system, the audio system having an input speech signal (X) applied thereto and responsively producing the output speech signal, the output speech signal being a degraded version of the input speech signal, both the input speech signal and the output speech signal being applied as input to the measurement system and a quality signal being produced as output there from, the method comprising the steps, performed in the measurement system, of:

a) determining both a local compensation ratio (F) indicative of a ratio of power of the input speech signal (X) to power of the output speech signal (Y) and, in response to the local compensation ratio, a variable scale factor (S), wherein the determining step comprises the steps of;

(a1) calculating the local compensation ratio (F) from power representations PX and PY of the time-frequency representations of the input speech signal (X) and the output signal (Y) respectively, and where F equals a ratio PX/PY;

(a2) calculating a clipped ratio C where C is set equal to a first pre-defined clipping value mm for F<

mm, a second pre-defined clipping value MM for F>

MM, or, for all other values, F; and

(a3) calculating the scaling ratio (S) from a first scaling factor m and a second scaling factor M, where both m and M are pre-defined values with mm<

m≦

1 and MM>

M≧

1, S equals either C^a+C−

C(m)^a−

1for C<

m, or C^a+C−

C(M)^a−

1for either C>

M or S=C, and ‘

a’

is a first tuning parameter with a predefined value between zero and one;

(b) generating, in response to the scale factor and predefined time-frequency representations, in accordance with the model, of the input speech signal and the output speech signal, first and second signals such that relatively small deviations in power between the input speech signal and the output speech signal are compensated in the first and second signals while relatively large deviations in the power between the input speech signal and the output speech signal are only partially compensated in the first and second signals, wherein the generating step comprises one of the steps of;

(b1) scaling, in response to the scale factor (S), the representations of both the input speech signal (X) and the output signal (Y) to yield a compensated input speech signal representation and a compensated output signal representation as the first and second signals, respectively;

or(b2) scaling, in response to the scale factor (S), the representation of the input speech signal (X) to yield a compensated input speech signal representation such that the first signal is the compensated input speech signal representation and the second signal is the output signal representation;

or(b3) scaling, in response to the scale factor (S), the representation of the output signal (Y) to yield a compensated output signal representation such that the second signal is the compensated output signal representation and the first signal is the input speech signal representation;

(c) comparing the first and second signals to yield a difference there between;

(d) ascertaining, in response to the difference, the transmission quality; and

(e) producing, in response to the transmission quality, the quality signal.

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Abstract

Method and system for measuring transmission quality of an audio transmission system under test. Specifically, an input signal (X), such as an original input speech signal, is applied to the audio transmission system which results in an output signal (Y) produced by the transmission system. Both signals X and Y are mutually processed to yield a perceived quality signal. In accordance with the invention, output signal Y and/or input signal X are scaled such that, depending on a ratio of power of these two signals, relatively small deviations of power between these signals are compensated, while relatively larger deviations are only partially compensated. Further, an artificial reference speech signal may be created for which noise levels present in the input speech signal are reduced by a scale factor which reflects a local level of the noise in that input signal.

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8 Claims

1. A method for use in a system that measures, through use of a psychoacoustic model of human perception, transmission quality of an output speech signal (Y) produced by an audio system, the audio system having an input speech signal (X) applied thereto and responsively producing the output speech signal, the output speech signal being a degraded version of the input speech signal, both the input speech signal and the output speech signal being applied as input to the measurement system and a quality signal being produced as output there from, the method comprising the steps, performed in the measurement system, of:
- a) determining both a local compensation ratio (F) indicative of a ratio of power of the input speech signal (X) to power of the output speech signal (Y) and, in response to the local compensation ratio, a variable scale factor (S), wherein the determining step comprises the steps of;
  
  (a1) calculating the local compensation ratio (F) from power representations PX and PY of the time-frequency representations of the input speech signal (X) and the output signal (Y) respectively, and where F equals a ratio PX/PY;
  
  (a2) calculating a clipped ratio C where C is set equal to a first pre-defined clipping value mm for F<
  
  mm, a second pre-defined clipping value MM for F>
  
  MM, or, for all other values, F; and
  
  (a3) calculating the scaling ratio (S) from a first scaling factor m and a second scaling factor M, where both m and M are pre-defined values with mm<
  
  m≦
  
  1 and MM>
  
  M≧
  
  1, S equals either C^a+C−
  
  C(m)^a−
  
  1for C<
  
  m, or C^a+C−
  
  C(M)^a−
  
  1for either C>
  
  M or S=C, and ‘
  
  a’
  
  is a first tuning parameter with a predefined value between zero and one;
  
  (b) generating, in response to the scale factor and predefined time-frequency representations, in accordance with the model, of the input speech signal and the output speech signal, first and second signals such that relatively small deviations in power between the input speech signal and the output speech signal are compensated in the first and second signals while relatively large deviations in the power between the input speech signal and the output speech signal are only partially compensated in the first and second signals, wherein the generating step comprises one of the steps of;
  
  (b1) scaling, in response to the scale factor (S), the representations of both the input speech signal (X) and the output signal (Y) to yield a compensated input speech signal representation and a compensated output signal representation as the first and second signals, respectively;
  
  or(b2) scaling, in response to the scale factor (S), the representation of the input speech signal (X) to yield a compensated input speech signal representation such that the first signal is the compensated input speech signal representation and the second signal is the output signal representation;
  
  or(b3) scaling, in response to the scale factor (S), the representation of the output signal (Y) to yield a compensated output signal representation such that the second signal is the compensated output signal representation and the first signal is the input speech signal representation;
  
  (c) comparing the first and second signals to yield a difference there between;
  
  (d) ascertaining, in response to the difference, the transmission quality; and
  
  (e) producing, in response to the transmission quality, the quality signal.
- View Dependent Claims (2, 3, 4)
- - 2. The method recited in claim 1 further comprising the step of creating an artificial reference speech signal for which noise levels present in the input speech signal (X) are reduced by a scaling factor which depends on local level of the noise in the input speech signal.
  - 3. The method recited in claim 2 wherein the comparing step comprises the step of:
    - setting a difference D(f)_nin loudness representations LX(f)_nand LY(f)_nof the input speech signal (X) and the output signal (Y), respectively, in a time-frequency plane equal to |LY(f)_n−
      
      LX(f)_n^b/K^b−
      
      1| for LX(f)_n<
      
      K, or |LY(f)_n−
      
      LX(f)_n| for LX(f)_n≧
      
      K, where b is a second tuning parameter with a predefined value greater than one and K is a low level noise power criterion value representing a desired low-level noise power criterion per time-frequency cell, where LX(f)_nand LY(f)_nare calculated according to the following equations;
      
      $\begin{matrix} {LX (f)}_{n} = {S (\frac{P_{0} (f)}{0.5})}^{γ} [{(0.5 + 0.5 \frac{{PX (f)}_{n}}{P_{o} (f)})}^{γ} - 1] \\ {LY (f)}_{n} = {S (\frac{P_{0} (f)}{0.5})}^{γ} [{(0.5 + 0.5 \frac{{PY (f)}_{n}}{P_{o} (f)})}^{γ} - 1] \end{matrix}$ where;
      
      P₀(f) is an absolute threshold;
      
      S is the scale factor; and
      
      γ
      
      is 0.23 for loudness above 4 Bark and, for loudness less than 4 Bark, is a predefined value higher than 0.23.
  - 4. The method recited in claim 2 wherein the comparing step comprises the step of:
    - setting a difference D(f)_nin loudness representations LX(f)_nand LY(f)_nof the input speech signal (X) and the output signal (Y), respectively, in a time-frequency plane equal to |LY(f)_n−
      
      LX(f)_n^b/K^b−
      
      1| for LX(t)<
      
      K′
      
      , or |LY(f)_n−
      
      LX(f)_n| for LX(t)≧
      
      K′
      
      , where b is a second tuning parameter with a predefined value greater than one and K′
      
      is a low level noise power criterion value representing a desired low-level noise power criterion per time frame, where LX(f)_nand LY(f)_nare calculated according to the following equations;
      
      $\begin{matrix} {LX (f)}_{n} = {S (\frac{P_{0} (f)}{0.5})}^{γ} [{(0.5 + 0.5 \frac{{PX (f)}_{n}}{P_{o} (f)})}^{γ} - 1] \\ {LY (f)}_{n} = {S (\frac{P_{0} (f)}{0.5})}^{γ} [{(0.5 + 0.5 \frac{{PY (f)}_{n}}{P_{o} (f)})}^{γ} - 1] \end{matrix}$ where;
      
      P₀(f) is an absolute threshold;
      
      S is the scale factor; and
      
      γ
      
      is 0.23 for loudness above 4 Bark and, for loudness less than 4 Bark, is a predefined value higher than 0.23.

5. Apparatus for measuring, through use of a psychoacoustic model of human perception, transmission quality of an output speech signal (Y) produced by an audio system, the audio system having an input speech signal (X) applied thereto and responsively producing the output speech signal, the output speech signal being a degraded version of the input speech signal, both the input speech signal and the output speech signal being applied as input to the measurement system and a quality signal being produced as output there from, the apparatus comprising:
- (a) means for determining both a local compensation ratio (F) indicative of a ratio of power of the input speech signal (X) to power of the output speech signal (Y) and, in response to the local compensation ratio, a variable scale factor (S), wherein the determining means comprises;
  
  (a1) means for calculating the local compensation ratio (F) from power representations PX and PY of the time-frequency representations of the input speech signal (X) and the output signal (Y), respectively, and where F equals a ratio PX/PY;
  
  (a2) means for calculating a clipped ratio C where C is set equal to a first pre-defined clipping value mm for F<
  
  mm, a second pre-defined clipping value MM for F>
  
  MM, or, for all other values, F; and
  
  (a3) means for calculating the scaling ratio (S) from a first scaling factor m and a second scaling factor M, where both m and M are pre-defined values with mm<
  
  m≦
  
  1 and MM>
  
  M≧
  
  1, S equals either C^a+C−
  
  C (m)^a−
  
  1for C<
  
  m, or C^a+C−
  
  C(M)^a−
  
  1for either C>
  
  M or S=C, and ‘
  
  a’
  
  is a first tuning parameter with a predefined value between zero and one;
  
  (b) means for generating, in response to the scale factor and predefined time-frequency representations, in accordance with the model, of the input speech signal and the output speech signal, first and second signals such that relatively small deviations in power between the input speech signal and the output speech signal are compensated in the first and second signals while relatively large deviations in the power between the input speech signal and the output speech signal are only partially compensated in the first and second signals, wherein the generating means comprises;
  
  (b1) means for scaling, in response to the scale factor (S), the representations of both the input speech signal (X) and the output signal (Y) to yield a compensated input speech signal representation and a compensated output signal representation as the first and second signals, respectively;
  
  or(b2) means for scaling, in response to the scale factor (S), the representation of the input speech signal (X) to yield a compensated input speech signal representation such that the first signal is the compensated input speech signal representation and the second signal is the output signal representation;
  
  or(b3) means for scaling, in response to the scale factor (S), the representation of the output signal (Y) to yield a compensated output signal representation such that the second signal is the compensated output signal representation and the first signal is the input speech signal representation;
  
  (c) means for comparing the first and second signals to yield a difference there between; and
  
  (d) means for ascertaining, in response to the difference, the transmission quality and for producing, in response to the transmission quality, the quality signal.
- View Dependent Claims (6, 7, 8)
- - 6. The apparatus recited in claim 5 further comprising means for creating an artificial reference speech signal for which noise levels present in the input speech signal (X) are reduced by a scaling factor which depends on local level of the noise in the input speech signal.
  - 7. The apparatus recited in claim 6 wherein the comparing means comprises:
    - means for setting a difference D(f)_nin loudness representations LX(f)_nand LY(f)_nof the input speech signal (X) and the output signal (Y), respectively, in a time-frequency plane equal to |LY(f)_n−
      
      LX(f)_n^b/K^b−
      
      1| for LX(f)_n<
      
      K, or |LY(f)_n−
      
      LX(f)_n| for LX(f)_n≧
      
      K, where b is a second tuning parameter with a predefined value greater than one and K is a low level noise power criterion value representing a desired low-level noise power criterion per time-frequency cell, where LX(f)_nand LY(f)_nare calculated according to the following equations;
      
      $\begin{matrix} {LX (f)}_{n} = {S (\frac{P_{0} (f)}{0.5})}^{γ} [{(0.5 + 0.5 \frac{{PX (f)}_{n}}{P_{o} (f)})}^{γ} - 1] \\ {LY (f)}_{n} = {S (\frac{P_{0} (f)}{0.5})}^{γ} [{(0.5 + 0.5 \frac{{PY (f)}_{n}}{P_{o} (f)})}^{γ} - 1] \end{matrix}$ where;
      
      P₀(f) is an absolute threshold;
      
      S is the scale factor; and
      
      γ
      
      is 0.23 for loudness above 4 Bark and, for loudness less than 4 Bark, is a predefined value higher than 0.23.
  - 8. The apparatus recited in claim 6 wherein the comparing means comprises:
    - means for setting a difference D(f)_nin loudness representations LX(f)_nand LY(f)_nof the input speech signal (X) and the output signal (Y), respectively, in a time-frequency plane equal to |LY(f)_n−
      
      LX (f)_n^b/K^b−
      
      1| for LX(t)<
      
      K′
      
      , or |LY(f)_n−
      
      LX(f)_n| for LX(t)≧
      
      K′
      
      , where b is a second tuning parameter with a predefined value greater than one and K′
      
      is a low level noise power criterion value representing a desired low-level noise power criterion per time frame, where LX(f)_nand LY(f)_nare calculated according to the following equations;
      
      $\begin{matrix} {LX (f)}_{n} = {S (\frac{P_{0} (f)}{0.5})}^{γ} [{(0.5 + 0.5 \frac{{PX (f)}_{n}}{P_{o} (f)})}^{γ} - 1] \\ {LY (f)}_{n} = {S (\frac{P_{0} (f)}{0.5})}^{γ} [{(0.5 + 0.5 \frac{{PY (f)}_{n}}{P_{o} (f)})}^{γ} - 1] \end{matrix}$ where;
      
      P₀(f) is an absolute threshold;
      
      S is the scale factor; and
      
      γ
      
      is 0.23 for loudness above 4 Bark and, for loudness less than 4 Bark, is a predefined value higher than 0.23.

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Current Assignee
Koninklijke KPN NV
Original Assignee
Koninklijke KPN NV
Inventors
Beerends, John Gerard
Primary Examiner(s)
Dorvil; Richemond
Assistant Examiner(s)
Colucci; Michael C

Application Number

US10/504,619
Publication Number

US 20050159944A1
Time in Patent Office

2,589 Days
Field of Search

704/200.1, 704/228, 704/233, 704/500, 375/147, 714/714, 455/110
US Class Current

704/3
CPC Class Codes

G10L 25/69 for evaluating synthetic or...

Method and system for measuring a system's transmission quality

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Abstract

22 Citations

8 Claims

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Method and system for measuring a system's transmission quality

First Claim

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Abstract

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