Abstract: A system and method for the evaluation of hearing implant signal processing is described. A cochlear implant signal processor converts a speech signal input into multi-channel stimulation pulse sequences for a cochlear implant electrode array. A temporal feature processing module extracts temporal feature information from the stimulation pulse sequences. A speech recognition engine evaluates the temporal information using automatic speech recognition to produce speech recognition outputs corresponding to the speech signal input.

Abstract: A system and method for the evaluation of hearing implant signal processing is described. A cochlear implant signal processor converts a speech signal input into multi-channel stimulation pulse sequences for a cochlear implant electrode array. A temporal feature processing module extracts temporal feature information from the stimulation pulse sequences. A speech recognition engine evaluates the temporal information using automatic speech recognition to produce speech recognition outputs corresponding to the speech signal input.

Abstract: An approach is described for evaluating a selected hearing stimulation strategy in a hearing impaired patient. A healthy neurogram represents a normal auditory neural response to a selected sound input by a healthy auditory system. An impaired neurogram represents an impaired auditory neural response to the selected sound input by a hearing impaired patient auditory system using the hearing stimulation strategy. The impaired neurogram is compared to the healthy neurogram based on: i. partitioning the neurograms into corresponding temporal and frequency domain tiles, ii. determining local variability between corresponding individual tiles by comparison of selected tile features, iii. determining global variability between the neurograms by weighted averaging of the individual tile comparisons, and iv. developing from the local and global variabilities a perception estimate representing effectiveness of the selected hearing stimulation strategy in approaching normal healthy hearing for the implanted patient.

Abstract: An arrangement and method for hearing implant signal processing is described. A hearing implant signal processor converts a speech signal input into multi-channel electrical stimulation signals for a cochlear implant electrode array. A feature adjustment module adjusts feature resolution of the electrical stimulation signals to produce a corresponding sequence of cochlear stimulation feature vectors. A speech recognition vector pre-processor maps the cochlear stimulation feature vectors into corresponding speech recognition feature vectors. A speech recognition engine evaluates the speech recognition features vectors with probabilistic state sequence models to produce speech recognition outputs corresponding to the speech signal input.

Abstract: An approach is described for evaluating a selected hearing stimulation strategy in a hearing impaired patient. A healthy neurogram represents a normal auditory neural response to a selected sound input by a healthy auditory system. An impaired neurogram represents an impaired auditory neural response to the selected sound input by a hearing impaired patient auditory system using the hearing stimulation strategy. The impaired neurogram is compared to the healthy neurogram based on: i. partitioning the neurograms into corresponding temporal and frequency domain tiles, ii. determining local variability between corresponding individual tiles by comparison of selected tile features, iii. determining global variability between the neurograms by weighted averaging of the individual tile comparisons, and iv. developing from the local and global variabilities a perception estimate representing effectiveness of the selected hearing stimulation strategy in approaching normal healthy hearing for the implanted patient.

Abstract: An arrangement and method for hearing implant signal processing is described. A hearing implant signal processor converts a speech signal input into multi-channel electrical stimulation signals for a cochlear implant electrode array. A feature adjustment module adjusts feature resolution of the electrical stimulation signals to produce a corresponding sequence of cochlear stimulation feature vectors. A speech recognition vector pre-processor maps the cochlear stimulation feature vectors into corresponding speech recognition feature vectors. A speech recognition engine evaluates the speech recognition features vectors with probabilistic state sequence models to produce speech recognition outputs corresponding to the speech signal input.

Abstract: A signal is used to form intermediate feature vectors which are subjected to high-pass filtering. The high-pass-filtered intermediate feature vectors have a respective prescribed addition feature vector added to them.

Abstract: A circuit arrangement and signal processing device are disclosed. In one embodiment, the circuit arrangement includes a resonator circuit for generating an output signal from an input signal with a capacitance and with an inductance, with an input at which the input signal can be provided, and with an output at which the output signal can be provided. A control circuit is provided for open-loop or closed-loop control of a quality factor of the resonator circuit, the control circuit being configured to control the quality factor of the resonator circuit in an open-loop manner or in a closed-loop manner depending on a signal profile of the signal amplitude of the input signal and/or of the output signal.

Abstract: A signal is used to form intermediate feature vectors which are subjected to high-pass filtering. The high-pass-filtered intermediate feature vectors have a respective prescribed addition feature vector added to them.

Abstract: A signal is used to form intermediate feature vectors which are subjected to high-pass filtering. The high-pass-filtered intermediate feature vectors have a respective prescribed addition feature vector added to them.

Abstract: A circuit arrangement and signal processing device are disclosed. In one embodiment, the circuit arrangement includes a resonator circuit for generating an output signal from an input signal with a capacitance and with an inductance, with an input at which the input signal can be provided, and with an output at which the output signal can be provided. A control circuit is provided for open-loop or closed-loop control of a quality factor of the resonator circuit, the control circuit being configured to control the quality factor of the resonator circuit in an open-loop manner or in a closed-loop manner depending on a signal profile of the signal amplitude of the input signal and/or of the output signal.

Abstract: A signal is used to form intermediate feature vectors which are subjected to high-pass filtering. The high-pass-filtered intermediate feature vectors have a respective prescribed addition feature vector added to them.