Cochlear Limited

University of Florida Research Foundation Inc

Bonny Banerjee

Lee Krause

Rahul Shrivastav

Alice Holmes

Mark D Skowronski

Mark Skowranski

A computer-implemented method for generating a test set for testing a subject using a computer system comprising logic-based processing circuitry is provided. The method includes the step of selecting one or more features from among a plurality of features, wherein a measurable effect on the subject of each feature selected is based on a predetermined threshold. The method also includes generating one or more classes of stimuli based on the selected features. The method further includes selecting stimuli from one or more of said classes for presenting to the subject.

System and methods for creating reduced test sets used in assessing subject response to stimuli

A tuning system for tuning a speech recognition system includes a transmitter for sending a user response to a speech recognition system. The user response is based at least in part on a test stimulus that may be generated by the control system. A receiver receives a recognized response from the speech recognition system; this recognized response is based at least in part on the associated user response. An adjustment module adjusts at least one parameter of the speech recognition system based at least in part on at least one of the test stimulus, the associated user response, and the recognized response.

Systems and methods for tuning automatic speech recognition systems

A method of tuning a hearing device includes sending a test signal to a model of a hearing device that may be remote from the actual hearing device being tuned. The test signal is encoded by the model and sent to the hearing device being tuned. The user of that hearing device sends a response signal based at least in part on the encoded test signal. This response is received and compared to the original test signal. Thereafter, an operational parameter is sent to the hearing device based on the comparison.

Systems and methods for remotely tuning hearing devices

A method of assessing hearing characteristics of a subject is provided. The method includes determining a hearing capability of the subject based on responses of the subject to a series of sounds presented to the subject. Each sound corresponds to a presence, absence or irrelevance of a predetermined plurality of features. The method further includes assigning the subject to one of a predetermined plurality of classes based upon the responses of the subject, each of the plurality of classes being derived from hearing tests performed on a plurality of other subjects.

System and methods of subject classification based on assessed hearing capabilities

Systems and methods may be used to modify a controllable stimulus generated by a digital audio device in communication with a human user. An input signal is provided to the digital audio device. In turn, the digital audio device sends a stimulus based on that input signal to the human user, who takes an action, usually in the form of an output signal, to characterize the stimulus that the user receives, based on the user's perception. An algorithm, lookup table, or other procedure then determines a difference between the input signal and the output signal, and a perceptual model is constructed based at least in part on the difference. Thereafter, a new value for the parameter of the digital audio device is suggested based at least in part on the perceptual model. This process continues iteratively until the user's optimal device parameters are determined.

Automatic performance optimization for perceptual devices

A method for measuring speech intelligibility includes inputting a speech waveform to a system. At least one acoustic feature is extracted from the waveform. From the acoustic feature, at least one phoneme is segmented. At least one acoustic correlate measure is extracted from the at least one phoneme and at least one intelligibility measure is determined. The at least one acoustic correlate measure is mapped to the at least one intelligibility measure.

Systems and methods for measuring speech intelligibility

Systems and methods may be used to modify a controllable stimulus generated by a digital audio device in communication with a human user. An input signal is provided to the digital audio device. In turn, the digital audio device sends a stimulus based on that input signal to the human user, who takes an action, usually in the form of an output signal, to characterize the stimulus that the user receives, based on the user's perception. An algorithm then determines a difference between the input signal and the output signal, and a perceptual model is constructed based at least in part on the difference. Thereafter, a new value for the parameter of the digital audio device is suggested based at least in part on the perceptual model. This process continues iteratively until the algorithm finds the user's optimal device parameters. While this process is highly complex and time consuming, the algorithm successfully reaches at least a near optimal settings, if not the optimal, in a short time.

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Palm Bay, FL, United States of America

Bonny Banerjee