Abstract: A method for suppressing noise of a first signal captured via a primary microphone is provided. A primary and a reference microphone are arranged on a communication device to capture noise and intermittent speech. A determination is made whether the first signal comprises non-stationary signal components or substantially stationary noise, and whether the first signal comprises substantially far-field noise in case it was determined that it comprises non-stationary signal components. A noise power spectrum estimate of the first signal is updated with a stationary noise power spectrum estimate if the first signal is considered to comprise substantially stationary noise or a far-field noise power spectrum estimate if the first signal is considered to comprise substantially far-field noise. A frequency response is computed on the basis of the estimated noise power spectrum. Noise from the first signal is suppressed by applying the frequency response on the first signal.

Abstract: The present invention relates to a method and arrangement for an improved noise canceller in a speech encoder. Sound signals are captured at a primary microphone in conjunction with a reference microphone. An adaptive shadow filter is adapted to the correlation between the signals captured at the primary and reference microphones. Further, a diffuse-noise-field detector is introduced which detects the presence of diffuse noise. When the diffuse-noise-field detector detects diffuse noise, the filter coefficients of the adapted shadow filter is used by a primary filter to cancel the diffuse noise at the signal captured by the primary microphone. Since the filter coefficients of the adapted shadow filter only is used for cancellation when diffuse noise is solely detected, cancellation of the speech signal is avoided.

Abstract: A method of detecting wind noise in an audio signal includes calculating a power spectrum of the current frame, evaluating whether the current frame is non-stationary, evaluating whether an energy content of the current frame is concentrated at low frequencies and evaluating whether a periodicity is present in the power spectrum. The method further includes determining the presence of wind noise without speech in the current frame if the current frame is non-stationary, the energy content is concentrated at low frequencies, and a periodicity is not present. The periodicity of the power spectrum is analyzed using cepstrum coefficients. An improved wind noise detection may be achieved by analyzing the spectral characteristics of recorded audio signals.

Abstract: A method for suppressing noise of a first signal captured via a primary microphone is provided. A primary and a reference microphone are arranged on a communication device to capture noise and intermittent speech. A determination is made whether the first signal comprises non-stationary signal components or substantially stationary noise, and whether the first signal comprises substantially far-field noise in case it was determined that it comprises non-stationary signal components. A noise power spectrum estimate of the first signal is updated with a stationary noise power spectrum estimate if the first signal is considered to comprise substantially stationary noise or a far-field noise power spectrum estimate if the first signal is considered to comprise substantially far-field noise. A frequency response is computed on the basis of the estimated noise power spectrum. Noise from the first signal is suppressed by applying the frequency response on the first signal.

Abstract: The present invention relates to a method and arrangement for an improved noise canceller in a speech encoder. Sound signals are captured at a primary microphone in conjunction with a reference microphone. An adaptive shadow filter is adapted to the correlation between the signals captured at the primary and reference microphones. Further, a diffuse-noise-field detector is introduced which detects the presence of diffuse noise. When the diffuse-noise-field detector detects diffuse noise, the filter coefficients of the adapted shadow filter is used by a primary filter to cancel the diffuse noise at the signal captured by the primary microphone. Since the filter coefficients of the adapted shadow filter only is used for cancellation when diffuse noise is solely detected, cancellation of the speech signal is avoided.