Method for making a voice activity decision

• US 7,254,532 B2
• Filed: 03/16/2001
• Issued: 08/07/2007
• Est. Priority Date: 04/28/2000
• Status: Expired due to Term

• Current Assignee: Deutsche Telekom AG
• Original Assignee: Deutsche Telekom AG
• Inventors: Erdmann, Christoph, Fischer, Alexander Kyrill
• Primary Examiner(s): Knepper; David D.
• Application Number:
  US10/258,643
• Publication Number:
  US 20030078770A1
• Time in Patent Office: 2,335 Days
• Field of Search: None
• US Class Current: 704/200
• CPC Class Codes: G10L 25/78 Detection of presence or absence of voice signals switching of direction of transmission by voice frequency in two-way loud-speaking telephone systems H04M9/10

Abstract

The invention relates to a method for determining voice activity in a signal section of an audio signal. The result, i.e., whether voice activity is present in the section of the signal thus observed, depends upon spectral and temporal stationarity of the signal section and/or prior signal sections. In a first step, the method determines whether there is spectral stationarity in the observed signal section. In a second step, the method determines whether there is temporal stationarity in the signal section in question. The final decision as to the presence of voice activity in the signal section observed depends upon the initial values of both steps.

Claims

1. A method for determining speech activity in a signal segment of an audio signal, the method comprising:

assessing, in a first stage, whether spectral stationarity is present in the signal segment;

assessing, in a second stage, whether temporal stationarity is present in the signal segment; and

making a decision on the presence of speech activity in the signal segment based on outputs of the first and second stages.

2. The method as recited in claim 1 wherein the assessing whether spectral stationarity is present and the assessing whether temporal stationarity is present are performed using at least one temporally preceding signal segment.

3. The method as recited in claim 2 wherein the assessing the temporal stationarity is performed using an energy change.

4. The method as recited in claim 1 further comprising dividing the signal segment into at least two subsegments and determining speech activity for each subsegment.

5. The method as recited in claim 4 wherein the two subsegments overlap.

6. The method as recited in claim 4 further comprising assessing speech activity of a temporally subsequent signal segment using the respective speech activities of the subsegments.

7. The method as recited in claim 6 further comprising assessing the speech activity of the temporally subsequent signal segment using respective speech activities of subsegments of each preceding signal segment.

8. The method as recited in claim 1 wherein the assessing whether spectral stationarity is present is performed by determining a spectral distortion between the signal segment and at least one preceding signal segment.

9. The method as recited in claim 1 wherein the assessing whether spectral stationarity is present is performed by making a stationarity decision so as to assign a value of stationary or non-stationary to an output variable STAT1.

10. The method as recited in claim 9 wherein the stationarity decision is made using previously determined linear prediction coefficients of the signal segment and a previously determined measure for a voicedness of the signal segment.

11. The method as recited in claim 10 wherein the stationarity decision is made using a number of signal segments N_INSTAT2 which have been classified as non-stationary by the second stage in analysis of preceding signal segments.

12. The method as recited in claim 10 wherein the stationarity decision is made by computing values for preceding signal segments.

13. The method as recited in claim 12 wherein the values for preceding signal segments include at least one of STIMM_MEM[0 . . . 1] and LPC_STAT1.

14. The method as recited in claim 1 further comprising producing a first output value STAT1 having a value of stationary or non-stationary and a second output value LPC_STAT1 which is dependent on previously determined linear prediction coefficients of the signal segment and STAT1.

15. The method as recited in claim 1 wherein the assessing whether temporal stationarity is present is performed using as input variables at least the signal segment in sampled form and a stationarity decision of the first stage.

16. The method as recited in claim 15 wherein the assessing whether temporal stationarity is present is performed using as additional input variables:

linear prediction coefficients LPC_STAT1 describing a last stationary signal segment;

an energy E_RES_REF of a residual signal of a previous stationary signal segment; and

a variable START configured to control a restart of a value adaptation and capable of assuming values true and false.

17. The method as recited in claim 1 wherein:

the assessing whether spectral stationarity is present is performed by making a stationarity decision so as to assign a value of stationary or non-stationary to a first output variable STAT1; and

the assessing whether temporal stationarity is present is performed so as to assign a value of stationary to a second output variable STAT2 each time that STAT1 has a value of stationary.

18. The method as recited in claim 1 wherein the assessing whether temporal stationarity is present performed so as to assign a value of stationary or non-stationary to a second output variable STAT2, the value of STAT2 being a measure of the speech activity of the signal segment.

19. A method for determining speech activity in a signal segment of an audio signal, the method comprising:

comparing a first evaluation of the signal segment with a first threshold value to determine whether spectral stationary is present in the signal segment;

comparing a second evaluation of the signal segment with a second threshold value to calculate whether temporal stationarity is present in the signal segment; and

determining a presence of speech activity in the signal segment based on a comparison of the first and second evaluations of the signal segment.

20. A method for determining speech activity in a single segment of an audio signal, the method comprising:

dividing the signal segment into a series of frames;

calculating a spectral distance between a current frame of the signal segment and a preceding frame of the signal segment;

calculating a mean value of a voicedness of the signal segment;

comparing the spectral distance and mean value of voicedness to respective threshold values to determine if the signal segment has spectral stationarity;

determining if the signal segment has temporal stationarity based on an energy calculation of the frames; and

deciding if the signal segment contains speech activity based on the presence of spectral stationarity and temporal stationarity.

21. The method as recited in claim 20, wherein the determining if the signal segment has temporal stationarity further comprises:

determining if the energy of temporally successive frames remains constant; and

determining if a deviation of the energy of temporally successive frames is within a tolerance interval.