Headset with integrated stereo array microphone
AssigneeAndrea Electronics Corporation
InventorsDouglas Andrea, Qunsheng Liu, John Probst
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Abstract
The invention relates to a noise canceling audio transmitting/receiving device; a stereo headset with an integrated array of microphones utilizing an adaptive beam forming algorithm. The invention also relates to a method of using an adaptive beam forming algorithm that may be incorporated into a stereo headset. The sensor array used herein has adaptive filtering capabilities.
Claims20
A noise canceling audio transmitting/receiving device, said device comprising:
- at least one audio outputting means;
- and
- at least one audio receiving means, each for receiving an acoustic signal and outputting an electrical signal representing the received acoustic signal;
- wherein each of said receiving means is directly mounted on a surface of a corresponding outputting means;
- and
- processing means connected to the audio receiving means and operable to apply a frequency domain adaptive filter to the electrical signal output by the audio receiving means, said processing means operable to carry out processing comprising:
- applying an averaging filter on the digitized electrical signal output by each of the receiving means,
- continuously calculating a beam, a beam reference, a reference average, and noise estimation based on the output of the averaging filter to continuously update filter coefficients of the adaptive filter, and
- selectively applying the adaptive filter to the output of the averaging filter.
A noise canceling audio transmitting/receiving device, said device comprising:
- at least one audio outputting means;
- and
- at least one audio receiving means, each for receiving an acoustic signal and outputting an electrical signal representing the received acoustic signal;
- wherein each of the at least one audio receiving means is directly mounted on a surface of a corresponding outputting means;
- and
- processing means connected to the audio receiving means and configured to convert the electrical signal representing the received acoustic signal to a frequency domain signal, said processing means further configured to carry out processing comprising:
- applying an averaging filter to the frequency domain signal by each of the at least one audio receiving means,
- repeatedly calculating a beam, a beam reference, a reference average, and noise estimation based on the output of the averaging filter to repeatedly update filter coefficients of a frequency domain adaptive filter, and
- applying the frequency domain adaptive filter to the output of the averaging filter;
- and
- calculating an error by subtracting the beam from a beam average, wherein calculating the noise estimation is further based on the error.
A noise canceling audio transmitting/receiving device, said device comprising:
- at least one speaker;
- and
- at least two microphones each located a predetermined distance from an acoustic source and configured to output an electrical signal on a respective channel;
- wherein each of the at least two microphones is mounted on a surface of a corresponding speaker;
- and
- a signal processor configured to receive from the microphones the electrical signals on each respective channel and to convert the time domain electrical signals to frequency domain electrical signals, said signal processor configured to apply an averaging filter to the frequency domain electrical signals, the signal processor further configured to calculate current filter coefficients for a beam representing the acoustic signal for application in said frequency domain adaptive filter, and to calculate a beam reference, a reference average, and a noise estimation based on output of the averaging filter to update filter coefficients of a frequency domain adaptive filter, and to apply the frequency domain adaptive filter to the output of the averaging filter;
- wherein the signal processor is further configured to calculate an error by subtracting the beam from a beam average, wherein calculating the noise estimation is further based on the error.
Dependencies are inferred from the claim text.