Hi,
I am working on an echo removal project. So far, I have successfully identified the far-end signal of length 21 ms at a sampling rate of 48000Hz whose echo is present in my near-end signal of 21ms. I did it using Echo Detection and Delay Estimation using a Pattern Recognition Approach and Cepstral Correlation .
Now, I want to remove that far-end echoed signal from my near-end signal which contains(echoed signal of farend and voice).
Things I tried:
In both, I am not getting the expected result as for spectral subtraction I read that It works well when there is static noise or one signal is stationary. For non-stationary signals, it doesn't work well.
What are the other techniques to remove the echo in my scenario? Since I have identified the far-end chunk whose echo is present in the near end chunk, I just want to remove it from near end chunk.
Ijaz Durrani
Thank you for the response. Actually, I am more into DSP techniques for real-time audio data. If there are any algorithms to use for real-time audio streams do let me know.
Ijaz Durrani
Sir, thank you for sharing these papers. Actually, my problem is quite precise to removing of echoed signal from the near-end signal on array level (playing with shorts, bytes, and floats). I have detected farend chunk whose echo is present in my nearend chunk but I am unable to remove that echo properly from near end chunk.
Isam Alkhalifawi Sir, these adaptive echo cancellation techniques don't help me in my scenario. My echo is non-stationary and the same sound is being produced with delay by multiple speakers, not just 1 speaker.
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