Programmable hearing aid

Claim 2

A hearing aid comprising: at least one microphone; an earphone; an amplifier and transmission stage connected between said microphone and said earphone, said amplifier and transmission stage having a signal path therein between said microphone and said earphone and having a plurality of adjustable transmission characteristics acting on a signal in said signal path; and neural network means connected in said signal path in said amplifier and transmission stage for processing signals in said signal path by adjusting said transmission characteristics dependent on current ambient auditory conditions for at least partially correcting a hearing impairment of a hearing aid user, said neural network means comprising a plurality of synapses, each synapse having a synaptic weight associated therewith, with each synaptic weight being permanently set.

Claim 3

A hearing aid as claimed in claim 1 wherein said microphone receives useful auditory signals and noise signals and emits electrical useful signals and electrical noise signals respectively corresponding thereto, and wherein said neural network means comprises means for separating said electrical useful signals from said electrical noise signals.

Claim 4

A hearing aid as claimed in claim 1 comprising a plurality of microphones, and wherein said neural network means comprises a plurality of signal inputs respectively allocated to said plurality of microphones.

Claim 5

A hearing aid as claimed in claim 1 further comprising signal preprocessing means, connected between said microphone and said neural network means, for preprocessing signals from said microphone and for emitting a plurality of edited signals respectively at a plurality of edited signal outputs, and wherein said neural network means comprises a plurality of signal inputs respectively connected to said plurality of edited signal outputs.

Claim 6

A hearing aid as claimed in claim 4 wherein signal preprocessing means comprises means for dividing said signal from said microphone into a plurality of said preprocessed signals in respectively different frequency ranges.

Claim 7

A hearing aid as claimed in claim 1 wherein said neural network means comprises a single-layer feedback network.

Claim 8

A hearing aid as claimed in claim 1 wherein said neural network means comprises a multi-layer feedback-free network.

Claim 9

A hearing aid as claimed in claim 1 wherein said neural network means comprises a combination of a single-layer feedback network and a multi-layer feedback-free network.

Claim 10

A hearing aid comprising: at least one microphone: an earphone: an amplifier and transmission stage connected between said microphone and said earphone, said amplifier and transmission stage having a signal path therein between said microphone and said earphone and having a plurality of adjustable transmission characteristics acting on a signal in said signal path; and neural network means connected in said signal path in said amplifier and transmission stage for processing signals in said signal path by adjusting said transmission characteristics dependent on current ambient auditory conditions for at least partially correcting a hearing impairment of a hearing aid user, said neural network means comprising a plurality of synapses, each synapse having a synaptic weight associated therewith and each synaptic weight being variable; control means connected to each synapse for varying the synaptic weight associated therewith; and data carrier means for supplying data to said control means for modifying the synaptic weights respectively associated with said synapses.

Claim 11

A hearing aid comprising: at least one microphone: an earphone: an amplifier and transmission stage connected between said microphone and said earphone, said amplifier and transmission stage having a signal path therein between said microphone and said earphone and having a plurality of adjustable transmission characteristics acting on a signal in said signal path; and neural network means connected in said signal path in said amplifier and transmission stage for processing signals in said signal path by adjusting said transmission characteristics dependent on current ambient auditory conditions for at least partially correcting a hearing impairment of a hearing aid user, said neural network means comprising a plurality of synapses, each synapse having a synaptic weight associated therewith and each synaptic weight being variable; control means connected to each synapse for varying the synaptic weight associated therewith; and data carrier means for supplying data to said control means for modifying the synaptic weights respectively associated with said synapses.

Claim 12

A hearing aid as claimed in claim 9 wherein said control means comprises mean for modifying said synaptic weights at predetermined points in time.

Claim 13

A hearing aid as claimed in claim 9 wherein said control means comprises means for continuously modifying said synaptic weights.

Claim 14

A hearing aid as claimed in claim 1 wherein said neural network means comprises a plurality of synapses each having an input signal and an output signal with a fed back output signal of a synapse being added to the input signal for that synapse.

Claim 15

A hearing aid as claimed in claim 1 wherein said neural network means comprises a plurality of synapses each having an input signal and an output signal, with a fed back output signal of a synapse being multiplied by a function to produce a product, with said product being added to the input signal for that synapse.

Claim 16

A hearing aid as claimed in claim 13 wherein said function comprises S.sub.ij =c·∫f(A.sub.i (t)·g(A.sub.j (t)·dt wherein c is a constant, A i (t) is the output signal of the synapse having said input signal, A j (t) is the output from another synapse in said neural network means, and f and g are two unequal, non-even functions.

Claim 17

A hearing aid as claimed in claim 1 wherein said neural network means comprises a single-layer feedback network having two inputs, two synapses, two outputs, and two limiting amplifiers respectively disposed in signal paths between said input and said outputs, with said synapses being respectively connected to said inputs and to said outputs so that each output signal is multiplied by a function and is added to the input signal of the other synapse, said function being a function of the two output signals.

Claim 18

A hearing aid as claimed in claim 1 wherein said neural network means has a plurality of output signals, and further comprising decision means for selecting one of said output signals for further processing.

Claim 19

A hearing aid as claimed in claim 1 wherein said neural network means comprises a plurality of components operating according to principles of fuzzy logic.

Claim 20

A hearing aid as claimed in claim 1 further comprising fuzzy logic signal preprocessing means, preceding said neural network means, for preprocessing signals from said microphone according to principles of fuzzy logic.

Claim 21

A hearing aid as claimed in claim 1 wherein said neural network means comprises a plurality of outputs, and further comprising fuzzy logic decision means, supplied with said outputs from said neural network means, for selecting one of said output signals for further processing according to principles of fuzzy logic.

Claim 22

A hearing aid as claimed in claim 9 wherein said microphone receives useful auditory signals and noise signals and emits electrical useful signals and electrical noise signals respectively corresponding thereto, and wherein said neural network means comprises means for separating said electrical useful signals from said electrical noise signals.

Claim 23

A hearing aid as claimed in claim 9 comprising a plurality of microphones, and wherein said neural network means comprises a plurality of signal inputs respectively allocated to said plurality of microphones.

Claim 24

A hearing aid as claimed in claim 9 further comprising signal preprocessing means, connected between said microphone and said neural network means, for preprocessing signals from said microphone and for emitting a plurality of edited signals respectively at a plurality of edited signal outputs, and wherein said neural network means comprises a plurality of signal inputs respectively connected to said plurality of edited signal outputs.

Claim 25

A hearing aid as claimed in claim 22 wherein signal preprocessing means comprises means for dividing said signal from said microphone into a plurality of said preprocessed signals in respectively different frequency ranges.

Claim 26

A hearing aid as claimed in claim 9 wherein said neural network means comprises a single-layer feedback network.

Claim 27

A hearing aid as claimed in claim 9 wherein said neural network means comprises a multi-layer feedback-free network.

Claim 28

A hearing aid as claimed in claim 9 wherein said neural network means comprises a combination of a single-layer feedback network and a multi-layer feedback-free network.

Claim 29

A hearing aid as claimed in claim 9 wherein said neural network means comprises a plurality of synapses each having an input signal and an output signal with a fed back output signal of a synapse being added to the input signal for that synapse.

Claim 30

A hearing aid as claimed in claim 9 wherein said neural network means comprises a plurality of synapses each having an input signal and an output signal, with a fed back output signal of a synapse being multiplied by a function to produce a product, with said product being added to the input signal for that synapse.

Claim 31

A hearing aid as claimed in claim 28 wherein said function comprises S.sub.ij =c·∫f(A.sub.i (t)·g(A.sub.j (t)·dt wherein c is a constant, A i (t) is the output signal of the synapse having said input signal, A j (t) is the output from another synapse in said neural network means, and f and g are two unequal, non-even functions.

Claim 32

A hearing aid as claimed in claim 9 wherein said neural network means comprises a single-layer feedback network having two inputs, two synapses, two outputs, and two limiting amplifiers respectively disposed in signal paths between said input and said outputs, with said synapses being respectively connected to said inputs and to said outputs so that each output signal is multiplied by a function and is added to the input signal of the other synapse, said function being a function of the two output signals.

Claim 33

A hearing aid as claimed in claim 9 wherein said neural network means has a plurality of output signals, and further comprising decision means for selecting one of said output signals for further processing.

Claim 34

A hearing aid as claimed in claim 9 wherein said neural network means comprises a plurality of components operating according to principles of fuzzy logic.

Claim 35

A hearing aid as claimed in claim 9 further comprising fuzzy logic signal preprocessing means, preceding said neural network means, for preprocessing signals from said microphone according to principles of fuzzy logic.

Claim 36

A hearing aid as claimed in claim 9 wherein said neural network means comprises a plurality of outputs, and further comprising fuzzy logic decision means, supplied with said outputs from said neural network means, for selecting one of said output signals for further processing according to principles of fuzzy logic.

Claim 37

A hearing aid as claimed in claim 9 wherein said control means comprises means for programming the synaptic weights respectively associated with said synapsis.