Granted Patent B2

US 8,332,219 · App. 12/847,554 · Granted Dec 11, 2012

Abstract

Claims (20)

1. A speech detection method, comprising:

sampling a first signal by a first voice captured device, and sampling a second signal by a second voice captured device, wherein the first voice captured device is closer to a speech signal source than the second voice captured device;

calculating a first energy corresponding to the first signal within an interval, calculating a second energy corresponding to the second signal within the interval, and calculating a first ratio according to the first energy and the second energy;

transforming the first ratio into a second ratio by an exponential weighted moving average method;

setting a threshold value which is equal to a regional maximum value of the second ratio multiplied by a coefficient β and then multiplied by an attenuation parameter σ, wherein 0<β≦1, and 0<σ≦1; and

determining whether the speech signal source is detected by comparing the second ratio and the threshold value.

2. The speech detection method according to claim 1 , wherein in the step of comparing the second ratio and the threshold value, if the second ratio is smaller than the threshold value, the speech signal source is detected.

3. A speech detection method, comprising:

sampling a first signal by a first voice captured device, and sampling a second signal by a second voice captured device, wherein the first voice captured device is closer to a speech signal source than the second voice captured device;

performing a speech energy determination step, comprising:

calculating a first energy corresponding to the first signal within an interval, calculating a second energy corresponding to the second signal within the interval, and calculating a first ratio according to the first energy and the second energy;

transforming the first ratio into a second ratio by an exponential weighted moving average method;

setting a threshold value which is equal to a regional maximum value of the second ratio multiplied by a coefficient β and then multiplied by an attenuation parameter σ, wherein 0<β≦1, and 0<σ≦1; and

outputting a first determination result by comparing the second ratio and the threshold value;

performing a speech direction determination step, comprising:

calculating a first correlation value in a first direction and a second correlation value in a second direction according to the first signal and the second signal, wherein the first direction is a direction corresponding to the speech signal source, and the second direction is a direction except for the first direction; and

outputting a second determination result according to the first correlation value and the second correlation value; and

determining whether the speech signal source is detected according to the first determination result and the second determination result.

4. The speech detection method according to claim 3 , wherein in the step of determining whether the speech signal source is detected according to the first determination result and the second determination result, when the second ratio is smaller than the threshold value and the first correlation value is greater than the second correlation value, the speech signal source is detected.

5. The speech detection method according to claim 3 , wherein in the step of determining whether the speech signal source is detected according to the first determination result and the second determination result, when the second ratio is smaller than the threshold value or the first correlation value is greater than the second correlation value, the speech signal source is detected.

Assignments (17)