Abstract: A system for establishing a hearing ability model of a hearing ability of a person, includes a data storage configured to store a representation of a distribution of a hearing ability of a population of individuals, and a processor configured to establish a hearing ability model representing a hearing ability of the person based at least in part on (i) information regarding a person's response to a stimulus of a hearing evaluation event, and (ii) the representation of the distribution of the hearing ability of the population.

Abstract: A system for establishing a hearing ability model of a hearing ability of a person, includes a data storage configured to store a representation of a distribution of a hearing ability of a population of individuals, and a processor configured to establish a hearing ability model representing a hearing ability of the person based at least in part on (i) information regarding a person's response to a stimulus of a hearing evaluation event, and (ii) the representation of the distribution of the hearing ability of the population.

Abstract: A hearing prosthesis that automatically adjusts itself to a surrounding listening environment is provided. In one aspect, the automatic adjustment is achieved by controlling one or several algorithm parameters of a predetermined signal processing algorithm. In another aspect, the signal input to the hearing prosthesis is continuously and automatically classified as belonging to one of several everyday listening environments, the results of the classification being communicated to the processing means thus allowing the processing means to control the algorithm parameters.

Abstract: A hearing prosthesis that automatically adjusts itself to a surrounding listening environment by applying Hidden Markov Models is provided. In one aspect, classification results are utilized to support automatic parameter adjustment of a parameter or parameters of a predetermined signal processing algorithm executed by processing means of the hearing prosthesis. According to another aspect, features vectors extracted from a digital input signal of the hearing prosthesis and processed by the Hidden Markov Models represent substantially level and/or absolute spectrum shape independent signal features of the digital input signal. This level independent property of the extracted features vectors provides robust classification results in real-life acoustic environments.

Abstract: A hearing prosthesis that automatically adjusts itself to a surrounding listening environment by applying Hidden Markov Models is provided. In one aspect, classification results are utilized to support automatic parameter adjustment of a parameter or parameters of a predetermined signal processing algorithm executed by processing means of the hearing prosthesis. According to another aspect, features vectors extracted from a digital input signal of the hearing prosthesis and processed by the Hidden Markov Models represent substantially level and/or absolute spectrum shape independent signal features of the digital input signal. This level independent property of the extracted features vectors provides robust classification results in real-life acoustic environments.

Abstract: A hearing prosthesis that automatically adjusts itself to a surrounding listening environment is provided. In one aspect, the automatic adjustment is achieved by controlling one or several algorithm parameters of a predetermined signal processing algorithm. In another aspect, the signal input to the hearing prosthesis is continuously and automatically classified as belonging to one of several everyday listening environments, the results of the classification being communicated to the processing means thus allowing the processing means to control the algorithm parameters.

Abstract: The invention refers to a programmable signal processing device mainly intended for hearing aids and of the kind which include an electronically controlled signal processor. Hearing aids for persons having impaired hearing are normally adjusted for only one frequency response and are adapted to amplify the frequencies which the patient has difficulties to hear. At different sound environments as for example conversations with disturbing background sounds, normal conversation in quiet environments or at lectures, the conditions of listening are different. Up to now this problem has not been solved satisfactorily for hearing aids. With the present invention a number of different signal processes, can easily be selected to suit different sound situations automatically or by the user himself.