Abstract: A method, including receiving a signal which includes speech data, processing the received signal to identify and/or predict one or more words in the speech data, and evoking a hearing percept based on the received signal, wherein the evoked hearing percept includes one or more modified words based on the identification and/or prediction of the one or more words.

Abstract: Presented here are embodiments for calibrating a bimodal hearing system that includes a cochlear implant with an implantable microphone. Calibration of the implantable microphone is influenced by skull vibrations induced by a separate hearing aid of the bimodal system. Thus, two sets of calibration measurements are obtained both with and without the hearing aid unmuted. Calibration parameters such as frequency response, noise floor parameters, and vibration calibration constants can then be derived based on the two sets of measurements.

Abstract: An implantable medical device is configured to detect signals with first and second implantable sensors configured to be implanted in a recipient. The implantable medical device is configured to adaptively equalize a response of the first implantable sensor to a response of a similar external sensor, wherein adaption control of the equalization is based on a coherence between the signals detected by first implantable sensor and the signals detected by the external microphone indicating the presence of acoustic signals. In addition, the implantable medical device is configured to adaptively filter vibration signals, including body noises, from the implantable sound signals, wherein adaption control of the filter is based on a coherence between the signals detected by first implantable sensor and the signals detected by the second implantable sensor indicating the presence of vibration.

Abstract: Presented herein are techniques for increasing sensitivity of a hearing prosthesis to sound signals received from the “side” of a recipient. The sensitivity of the hearing prosthesis to sound signals received from the side of a recipient is provided by a spatial pre-filter that is configured to use a primary reference signal (i.e., a first directional signal) and a side reference signal (i.e., a second directional signal having at least one null directed to the side of the recipient) to calculate a side gain mask. The side gain mask includes gains for each of a plurality of frequency channels associated with the received sound signals.

Abstract: Presented herein are techniques for increasing sensitivity of a hearing prosthesis to sound signals received from the “side” of a recipient. The sensitivity of the hearing prosthesis to sound signals received from the side of a recipient is provided by a spatial pre-filter that is configured to use a primary reference signal (i.e., a first directional signal) and a side reference signal (i.e., a second directional signal having at least one null directed to the side of the recipient) to calculate a side gain mask. The side gain mask includes gains for each of a plurality of frequency channels associated with the received sound signals.

Abstract: A method, including receiving a signal which includes speech data, processing the received signal to identify and/or predict one or more words in the speech data, and evoking a hearing percept based on the received signal, wherein the evoked hearing percept includes one or more modified words based on the identification and/or prediction of the one or more words.

Abstract: Presented herein are techniques for increasing sensitivity of a hearing prosthesis to sound signals received from the “side” of a recipient. The sensitivity of the hearing prosthesis to sound signals received from the side of a recipient is provided by a spatial pre-filter that is configured to use a primary reference signal (i.e., a first directional signal) and a side reference signal (i.e., a second directional signal having at least one null directed to the side of the recipient) to calculate a side gain mask. The side gain mask includes gains for each of a plurality of frequency channels associated with the received sound signals.

Abstract: Presented herein are techniques for suppressing electrical interference caused by a feedback path(s) between an output channel and an input channel of an implantable medical device. In particular, the output channel carries stimulation signals that can pass through the feedback path(s) and appear in the input channel, thereby causing interference with any input signals carried by the input channel. The implantable medical device is configured to determine characteristics of the feedback and subsequently use the feedback characteristics to generate feedback compensation signals for application to the input channel.

Abstract: Presented herein are signal processing techniques that integrate an adaptive filtering process with a parametric post-filter in the frequency domain to control the amount of body noise reduction in each of a plurality of frequency bands (e.g., tuneable body noise reduction in each frequency band). The parametric post-filter generates a gain mask that is tuned to responses of sensors to separate external acoustic sounds and body noises, while limiting distortions of own voice. The techniques presented herein can preserve external acoustic sound quality, attenuate own voice to a comfortable level without distortion, suppress body noises, and/or lower a noise floor of the output signal.

Abstract: Presented herein are techniques for suppressing electrical interference caused by a feedback path(s) between an output channel and an input channel of an implantable medical device. In particular, the output channel carries stimulation signals that can pass through the feedback path(s) and appear in the input channel, thereby causing interference with any input signals carried by the input channel. The implantable medical device is configured to determine characteristics of the feedback and subsequently use the feedback characteristics to generate feedback compensation signals for application to the input channel.

Abstract: Presented herein are signal processing techniques that integrate an adaptive filtering process with a parametric post-filter in the frequency domain to control the amount of body noise reduction in each of a plurality of frequency bands (e.g., tuneable body noise reduction in each frequency band). The parametric post-filter generates a gain mask that is tuned to responses of sensors to separate external acoustic sounds and body noises, while limiting distortions of own voice. The techniques presented herein can preserve external acoustic sound quality, attenuate own voice to a comfortable level without distortion, suppress body noises, and/or lower a noise floor of the output signal.

Abstract: An audio processing pipeline, for an auditory prosthesis, includes: a common stage, including a common frequency analysis filter bank, configured to generate a common set of processed signals based on an input audio signal; and first and second stimulator-specific stages, responsive to the common set of signals and including first and second frequency-analysis filter banks, configured to generate first and second sets of processed signals adapted for the first and second hearing stimulators, respectively.

Abstract: An audio processing pipeline, for an auditory prosthesis, includes: a common stage, including a common frequency analysis filter bank, configured to generate a common set of processed signals based on an input audio signal; and first and second stimulator-specific stages, responsive to the common set of signals and including first and second frequency-analysis filter banks, configured to generate first and second sets of processed signals adapted for the first and second hearing stimulators, respectively.

Abstract: An audio processing pipeline, for an auditory prosthesis, includes: a common stage, including a common frequency analysis filter bank, configured to generate a common set of processed signals based on an input audio signal; and first and second stimulator-specific stages, responsive to the common set of signals and including first and second frequency-analysis filter banks, configured to generate first and second sets of processed signals adapted for the first and second hearing stimulators, respectively.

Abstract: An audio processing pipeline, for an auditory prosthesis, includes: a common stage, including a common frequency analysis filter bank, configured to generate a common set of processed signals based on an input audio signal; and first and second stimulator-specific stages, responsive to the common set of signals and including first and second frequency-analysis filter banks, configured to generate first and second sets of processed signals adapted for the first and second hearing stimulators, respectively.

Abstract: An audio processing pipeline, for an auditory prosthesis, includes: a common stage, including a common frequency analysis filter bank, configured to generate a common set of processed signals based on an input audio signal; and first and second stimulator-specific stages, responsive to the common set of signals and including first and second frequency-analysis filter banks, configured to generate first and second sets of processed signals adapted for the first and second hearing stimulators, respectively.

Abstract: An audio processing pipeline, for an auditory prosthesis, includes: a common stage, including a common frequency analysis filter bank, configured to generate a common set of processed signals based on an input audio signal; and first and second stimulator-specific stages, responsive to the common set of signals and including first and second frequency-analysis filter banks, configured to generate first and second sets of processed signals adapted for the first and second hearing stimulators, respectively.

Abstract: A method for determining the level of stimulation signals generated by an auditory prosthesis as a result of processing an electrical audio signal representative of sound is disclosed, the method comprising: converting the audio signal into a plurality of frequency-based signal components; analyzing one or more of the signal components to determine a quantity associated with the presence of a target signal in the analyzed signal component; and calculating the signal level based on the determined quantity when the determined quantity indicates a target signal is sufficiently present in the audio signal.

Abstract: An hearing prosthesis configured to cancel received bone-conducted sound. The hearing prosthesis comprises: first and second matched microphones configured to be implanted in a recipient in a spaced arrangement such that the first microphone receives air-conducted sound signals and bone-conducted sound signals substantially simultaneously, and wherein the second microphone receives bone-conducted sound signals at substantially the same time as the first microphone and receives the air-conducted sound signals after a time delay. The time delay results in a relative phase difference between the air-conducted sound signals and the bone-conducted sound signals received by the second microphone. The prosthesis also comprises a noise cancellation system configured to cancel, based on the phase difference, the bone-conducted sound signals received by the first and second microphones.

Abstract: A method of adjusting frequency-dependent amplification in an audio amplification apparatus. The audio amplification apparatus includes a forward transfer path (2) connectable to an output transducer, the forward transfer path including a frequency transposing element. The method includes the steps of: presenting stimuli to the output transducer at a plurality of frequencies; adjusting the stimulus level (C) at each frequency to meet a predefined loudness perception level or detection threshold of the listener; deriving an equal loudness contour of output transducer levels from the adjusted stimuli levels; and deriving the frequency-dependent amplification of levels of input signals (I) at each frequency.