Abstract: An audio system has a speaker port defining a speaker port cavity, which has a speaker port outlet communicating acoustically with a user's ear canal. A speaker generates output sound in the speaker port cavity based on a speaker signal received at the speaker. The output sound travels along an acoustic path extending from the speaker through the speaker port outlet to an ear canal. A speaker port microphone in acoustic communication with the speaker port cavity produces a speaker port microphone signal in response to input sound. An analysis unit receives the speaker signal and the speaker port microphone signal, uses the speaker signal and the speaker port microphone signal to determine a change in acoustic properties of the acoustic path, and uses the determined change in acoustic properties of the acoustic path to determine a change in physical properties of the audio system along the acoustic path.

Abstract: Adaptive processing of an input signal is achieved by offline analysis, with inline processing comprising an adaptive filter. The method comprises passing the input signal through an adaptive time domain filter to produce an output signal. The input signal and/or output signal is used as an offline analysis signal. The analysis signal is transformed into a transform domain (eg frequency domain) to produce a transformed analysis signal. The transformed analysis signal is analyzed, for example by ADRO, to produce a plurality of desired gains each corresponding to a respective transform domain sub-band. A time domain filter characteristic is synthesized to at least approach the desired gains. The adaptive filter is updated with the synthesized filter characteristic. Minimum phase adaptive filter techniques are found to possess particular benefits in this scheme.

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 analyzed to produce a desired gain for each respective transform domain sub-band. A minimum phase time domain filter characteristic is synthesized which approaches the desired gains. The adaptive filter is updated with the synthesized filter characteristic.

Abstract: In one aspect of the invention, a cochlear implant constructed and arranged to successively generate stimulation signals each comprising at least one stimulus pulse such that said successive stimulation signals incrementally build a neural excitation pattern that accurately reflects a received sound. In one embodiment, each said successive stimulation signal is generated based on the cumulative effect of all previous stimulus pulses, thereby compensating for finite spatial spreading of individual stimulus pulses as well as for the temporal integration of the neural excitation pattern along the neural pathways.

Abstract: Adaptive processing of an input signal is achieved by offline analysis, with inline processing comprising an adaptive filter. The method comprises passing the input signal through an adaptive time domain filter to produce an output signal. The input signal and/or output signal is used as an offline analysis signal. The analysis signal is transformed into a transform domain (eg frequency domain) to produce a transformed analysis signal. The transformed analysis signal is analysed, for example by ADRO, to produce a plurality of desired gains each corresponding to a respective transform domain sub-band. A time domain filter characteristic is synthesised to at least approach the desired gains. The adaptive filter is updated with the synthesised filter characteristic. Minimum phase adaptive filter techniques are found to possess particular benefits in this scheme.

Abstract: Adaptive processing of an input signal is achieved by offline analysis, with inline processing comprising an adaptive filter. The method comprises passing the input signal through an adaptive time domain filter to produce an output signal. The input signal and/or output signal is used as an offline analysis signal. The analysis signal is transformed into a transform domain (eg frequency domain) to produce a transformed analysis signal. The transformed analysis signal is analyzed, for example by ADRO, to produce a plurality of desired gains each corresponding to a respective transform domain sub-band. A time domain filter characteristic is synthesized to at least approach the desired gains. The adaptive filter is updated with the synthesized filter characteristic. Minimum phase adaptive filter techniques are found to possess particular benefits in this scheme.

Abstract: Distributing signal processing for a headset. The system comprises a headset and base device. The headset has one or more microphones, and one or more speakers. The headset communicates with the base device via a bidirectional wireless communications link such as Bluetooth. The headset has an on-board digital signal processor for processing at least one of electrical signals passing to the speaker and electrical signals passing from the microphone. The base device has a processor which can carry the burden of any or all processing functions which do not require short latency. And/or the base device's processor can control at least one aspect of digital signal processing of the digital signal processor of the headset, and effect such control via the wireless communications link.

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: In one aspect of the invention, a cochlear implant constructed and arranged to successively generate stimulation signals each comprising at least one stimulus pulse such that said successive stimulation signals incrementally build a neural excitation pattern that accurately reflects a received sound. In one embodiment, each said successive stimulation signal is generated based on the cumulative effect of all previous stimulus pulses, thereby compensating for finite spatial spreading of individual stimulus pulses as well as for the temporal integration of the neural excitation pattern along the neural pathways.

Abstract: In one aspect of the invention, a cochlear implant constructed and arranged to successively generate stimulation signals each comprising at least one stimulus pulse such that said successive stimulation signals incrementally build a neural excitation pattern that accurately reflects a received sound. In one embodiment, each said successive stimulation signal is generated based on the cumulative effect of all previous stimulus pulses, thereby compensating for finite spatial spreading of individual stimulus pulses as well as for the temporal integration of the neural excitation pattern along the neural pathways.

Abstract: Adaptive processing of an input signal is achieved by offline analysis, with inline processing comprising an adaptive filter. The method comprises passing the input signal through an adaptive time domain filter to produce an output signal. The input signal and/or output signal is used as an offline analysis signal. The analysis signal is transformed into a transform domain (eg frequency domain) to produce a transformed analysis signal. The transformed analysis signal is analysed, for example by ADRO, to produce a plurality of desired gains each corresponding to a respective transform domain sub-band. A time domain filter characteristic is synthesised to at least approach the desired gains. The adaptive filter is updated with the synthesised filter characteristic. Minimum phase adaptive filter techniques are found to possess particular benefits in this scheme.

Abstract: In one aspect of the invention, a cochlear implant constructed and arranged to successively generate stimulation signals each comprising at least one stimulus pulse such that said successive stimulation signals incrementally build a neural excitation pattern that accurately reflects a received sound. In one embodiment, each said successive stimulation signal is generated based on the cumulative effect of all previous stimulus pulses, thereby compensating for finite spatial spreading of individual stimulus pulses as well as for the temporal integration of the neural excitation pattern along the neural pathways.

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.