Abstract:
This invention concerns a method, and a device, for feedback cancellation. This invention also concerns a computer program product comprising computer program code means to make a computer execute a procedure for feedback cancellation. The method comprises providing an adaptive feedback cancellation filter which adapts under the control of a control module, and filtering at least one input of the control module to suppress correlated signals from the input prior to the control module operating upon the input. The device comprises an adaptive feedback cancellation filter, a control module and at least one filter. The control module controls adaptation of the adaptive feedback cancellation filter. The filter suppresses correlated signals from an input to the control module prior to the control module operating upon the input.
Abstract:
An input sound signal (210) is processed in order to meet a target dynamic range (910, 920). At least one gain, specific to the input sound signal (210), is applied to the input sound signal (210) to produce a processed sound signal (214). A dynamic range of the processed sound signal is measured, and a match of the measured dynamic range with the target dynamic range (910, 920) is determined. The gain is adjusted in accordance with at least one input sound signal -specific parameter, to improve the match of dynamic range of the processed sound signal (214) to the target dynamic range (910, 920). The input sound signal -specific parameter is adaptive in response to at least one monitored signal condition.
Abstract:
The invention relates to adaptive directional systems, and more particularly to a method and apparatus for producing adaptive directional signals. The invention may be applied to the provision of audio frequency adaptive directional microphone systems for devices such as hearing aids and mobile telephones. The method involves constructing the adaptive directional signal (46) from a weighted sum of a first signal (42A) having an omni-directional polar pattern and a second signal (42B) having a bi-directional polar pattern, wherein the weights are calculated to give the combined signal a constant gain in a predetermined direction and to minimise the power of the combined signal. The mehtod has particular application in producing signals in digital hearing aids, the predetermined direction being in the forward direction with respect to the wearer.
Abstract:
Adaptively processing an input signal, such as an input signal of a hearing aid. The input signal is passed through an adaptive time domain filter to produce an output signal. At least one of the input signal and the output signal is used as an analysis signal. The analysis signal is transformed into a transform domain to produce a transformed analysis signal, which is analysed to produce a desired gain for each respective transform domain sub-band. A minimum phase time domain filter characteristic is synthesised which approaches the desired gains. The adaptive filter is updated with the synthesised filter characteristic.
Abstract:
A system and technique for feedback cancellation. An off-line feedback estimation filter is adaptive in response to an error signal. An on-line feedback cancellation filter produces a feedback cancellation signal. The on-line feedback cancellation filter is updated by deriving on-line filter taps from taps of the off-line filter, with the update occurring when a tonality measure determined from the off-line filter taps meets a pre-defined criterion. The tonality measure may include reference to non-causal filter taps.
Abstract:
Methods, devices and systems for signal processing an audio signal in a hearing device to determine whether the signal is tonal. The signal is converted at each of a series of successive time windows into samples in the frequency domain across multiple subbands. For at least one of the subbands, a normalized cross-correlation is calculated between two different samples in the same subband. A metric resulting from the calculation is compared to a predetermined threshold to provide a measure of whether the signal is tonal. The signal is considered to be tonal in the frequency of the subband when the metric is greater than or equal to the predetermined threshold, and the signal is considered to be not tonal in the frequency of the subband when the metric is less than the predetermined threshold.