Time-varying audio-signal level using a time-varying estimated probability density of the level

• US 9,698,743 B2
• Filed: 07/11/2008
• Issued: 07/04/2017
• Est. Priority Date: 07/13/2007
• Status: Active Grant

• Current Assignee: Dolby Laboratories Licensing Corporation (Dolby Laboratories Incorporated)
• Original Assignee: Dolby Laboratories Licensing Corporation (Dolby Laboratories Incorporated)
• Inventors: Seefeldt, Alan Jeffrey
• Primary Examiner(s): Mei, Xu
• Application Number:
  US12/668,789
• Publication Number:
  US 20100174540A1
• Time in Patent Office: 3,280 Days
• Field of Search: 381107, 381104, 704201, 704200, 704224, 704E21002, 84623, 84633
• CPC Class Codes: G06F 18/2321 using statistics or function optimisation, e.g. modelling of probability density functions
• CPC Class Codes: H03G 3/3005 in amplifiers suitable for low-frequencies, e.g. audio amplifiers H03G3/32, H03G3/34 take precedence
• CPC Class Codes: H03G 3/32 the control being dependent upon ambient noise level or sound level

Abstract

Methods, media and apparatus for smoothing a time-varying level of a signal. A method includes estimating a time-varying probability density of a short-term level of the signal and smoothing a level of the signal by using the probability density. The signal may be an audio signal. The short-term level and the smoothed level may be time series, each having current and previous time indices. Here, before the smoothing, computing a probability of the smoothed level at the previous time index may occur. Before the smoothing, calculating smoothing parameters using the probability density may occur. Calculating the smoothing parameters may include calculating the smoothing parameters using the smoothed level at the previous time index, the short-term level at the current time index and the probability of the smoothed level at the previous time index. Calculating the smoothing parameters may include calculating the smoothing parameters using breadth of the estimated probability density.

Claims

1. A method for smoothing a time-varying level of a signal, the method comprising:

estimating a time-varying probability density of the time-varying level of the signal;

computing a probability of a prior smoothed time-varying level using the time-varying probability density estimate;

adapting a smoothing filter in response to the probability; and

applying the adapted smoothing filter to the time-varying level to generate the smoothed time-varying level.

2. The method of claim 1 that comprises adapting time constants of the smoothing filtering to be commensurate with the rate of variation of the estimated probability density.

3. The method of claim 1 wherein the time-varying level and the smoothed time-varying level are time series, each having current and previous time indices, and wherein the method comprises:

computing the probability of smoothed time-varying level at the previous time index;

adapting the smoothing filter in response to the probability of the smoothed time-varying level at the previous time index; and

applying the adapted smoothing filter to the time-varying level at the current time index.

4. The method of claim 3 wherein the method comprises adapting the smoothing filter in response to:

the smoothed time-varying level at the previous time index, the time-varying level at the current time index and the probability of the smoothed time-varying level at the previous time index.

5. The method of claim 4 that comprises adapting attack and release time constants of the smoothing filter such that:

the attack constant is equal to a first attack value and the release constant is equal to a first release value when the computed probability of the smoothed time-varying level at the previous time index is less than or equal to a threshold probability; and

the attack constant is equal to a second attack value and the release constant is equal to a second release value when the computed probability of the smoothed time-varying level at the previous time index is greater than the threshold probability, wherein either the second attack value is greater than the first attack value or the second release value is greater than the first release value.

6. The method of claim 5 that comprises adapting the threshold probability in response to the estimated probability density.

7. The method of claim 1 that comprises adapting the smoothing filter in response to the width of the time-varying probability density.

8. The method of claim 1 that adapts the smoothing filter by modifying time constants of the smoothing filter in response to the probability, wherein faster time constants are used when the probability is lower and slower time constants are used when the probability is higher.

9. The method of claim 1 that comprises estimating the probability density by fitting a parametric representation to past values of the time-varying level.

10. The method of claim 1 that comprises estimating the probability density by computing a histogram of past values of the time-varying level.

11. An apparatus for smoothing a time-varying level of an audio signal, wherein the apparatus comprises:

an input terminal for receiving the audio signal;

a short-term-level computer coupled to the input terminal for computing a short-term level of the audio signal;

a level smoother coupled to an output of the short-term level computer for smoothing the short-term level of the audio signal using smoothing parameters;

a probability-density estimator coupled to the output of the short-term-level computer for estimating a probability density of the short-term level;

a delay coupled to an output of the level smoother for delaying the smoothed short-term-level of the audio signal;

a probability computer coupled to an output of the probability-density estimator and to an output of the delay for computing a probability of the delayed smoothed short-term level; and

a smoothing-parameters calculator coupled to the output of the short-term level computer, coupled to an output of the probability computer, and coupled to the output of the delay for calculating the smoothing parameters, wherein the level smoother is also coupled to an output of the smoothing-parameters calculator.

12. The apparatus of claim 11 wherein the probability-density estimator estimates the probability density using a time series of the short-term level of the audio signal.

13. The apparatus of claim 12 wherein

the probability computer computes the probability using the estimated probability density and the delayed smoothed short-term level;

and

the smoothing-parameters calculator calculates the smoothing parameters using the probability, the delayed smoothed short-term level and the short-term level.

14. The apparatus of claim 11 wherein the probability computer computes the probability using the estimated probability density and the delayed smoothed short-term level.

15. The apparatus of claim 11 wherein the smoothing-parameters calculator calculates the smoothing parameters using the probability, the delayed smoothed short-term level and the short-term level.

16. The apparatus of claim 11 wherein the probability-density estimator fits a parametric representation to past values of the short-term level.

17. The apparatus of claim 11 wherein the probability-density estimator computes a histogram of past values of the short-term level.