Noise reduction with integrated tonal noise reduction

1. A method of identifying tonal noise comprising:

transforming an input signal into a plurality of frequency bins;

at each bin calculating a smoothed background noise and a background noise estimate;

at each bin comparing the smoothed background noise to the background noise estimate;

calculating a ratio of the background noise estimate to the smoothed background noise for a bin;

comparing the ratio to a predetermined threshold value;

identifying whether a peak in the bin is a tonal peak or a non-tonal noise peak based on the comparison between the ratio and the predetermined threshold value;

identifying the bin as having the tonal peak in response to a determination that the ratio of the background noise estimate to the smoothed background noise is greater than the predetermined threshold value; and

attenuating at least a portion of the tonal peak of the input signal to generate an output signal with reduced tonal noise.

2. The method of claim 1 where the step of comparing comprises comparing the smoothed background noise to the background noise estimate of the same bin.

3. The method of claim 1 where the threshold value is greater than 1.

4. The method of claim 2 wherein the step of determining a smoothed background noise for a current frame n is accomplished by

B n ( k )=β 1 *B n ( k )+(1−β 1 )* B n ( k− 1)

when B n (k)≧ B n (k−1)

where B n (k) is the background noise estimate of the present frame n at frequency bin k and B n (k−1) is the smoothed background noise of the prior bin k−1.

5. The method of claim 4 wherein the step of determining a smoothed background noise is given by

B n ( k )=β 2 *B n ( k )+(1−β 2 )* B n ( k− 1)

when B n (k)< B n (k−1).

6. The method of claim 1 wherein the ratio ξ n (k) is given by

ξ n ( k )= B n ( k )/ B n ( k ).

7. A method of removing tonal noise from a signal comprising:

determining a short-time spectral magnitude |Y n,k | of a noisy speech signal at an nth frame and kth frequency bin;

calculating a background noise estimate of the noisy speech signal at the kth frequency bin;

calculating a smoothed background noise of the noisy speech signal at the kth frequency bin;

calculating a ratio of the background noise estimate and the smoothed background noise;

calculating an adaptive suppression gain value Ĝ n,k based on the ratio of the background noise estimate and the smoothed background noise; and

attenuating at least a portion of a tonal noise in the noisy speech signal to generate an estimated clean speech signal |{circumflex over (X)} n,k | by |{circumflex over (X)} n,k |=Ĝ n,k |Y n,k |.

8. The method of claim 7 wherein Ĝ n,k is generated by

Ĝ n,k =max(σ n,k ,G n,k )

where σ n,k is an adaptive gain factor related to a current frequency bin.

9. The method of claim 8 where σ n,k is generated by

σ n,k =σ·ξ n ( k )

where σ is a constant factor and

ξ n (k) is the ratio between the background noise estimate and the smoothed background noise at bin k.

10. The method of claim 9 where

ξ n ( k )= B n ( k )/ B n ( k )

where B n (k) is the background noise estimate of the current frame n at frequency k and B n (k) is the smoothed background noise of the same bin.

11. The method of claim 10 further including the step of comparing Ĝ n (k)·|Y n (k)| to B n (k).

12. The-method of claim 11 further including the step of accepting |{circumflex over (X)} n,k | when Ĝ n (k)·|Y n (k)≧ B n (k).

13. The method of claim 11 further including the step of replacing the original phase with a random phase when Ĝ n,k ·|Y n,k |< B n (k).

14. The method of claim 1 where the input signal comprises an audio signal with speech content and tonal noise content.

15. The method of claim 1 where the input signal comprises an audio signal with tonal noise content and diffuse noise content, and where the step of attenuating comprises attenuating the tonal peak associated with the tonal noise content by a greater amount than the diffuse noise content.

16. The method of claim 1 where the step of calculating the smoothed background noise comprises calculating the smoothed background noise by an asymmetric infinite impulse response filter.

17. The method of claim 5 where βhd 1 and β 2 are two parameters in a range from 0 to 1, and where β 2 is greater than β 1 .

18. A method of attenuating tonal noise comprising:

determining a short-time spectral magnitude |Y n,k | of an audio input signal;

transforming the input signal into a plurality of frequency bins;

calculating a background noise estimate of the input signal at a first bin of the plurality of frequency bins;

calculating a smoothed background noise of the input signal at the first bin;

calculating a ratio of the background noise estimate and the smoothed background noise;

comparing the ratio to a predetermined threshold value;

identifying whether a peak in the first bin is a tonal noise peak or a non-tonal noise peak in response to the comparison between the ratio and the predetermined threshold value;

identifying the first bin as having the tonal noise peak in response to a determination that the comparison meets a predetermined condition;

calculating an adaptive suppression gain value Ĝ n,k based on the ratio; and

attenuating at least a portion of the tonal noise peak of the input signal to generate an audio output signal |{circumflex over (X)} n,k | with reduced tonal noise by |{circumflex over (X)} n,k |=Ĝ n,k |Y n,k |.

19. The method of claim 7 wherein the step of calculating the adaptive suppression gain value Ĝ n,k comprises changing a suppression gain floor associated with the adaptive suppression gain value Ĝ n,k that is dependent on the ratio of the background noise estimate and the smoothed background noise.