Programmable hearing aid

• US 5,754,661 A
• Filed: 08/16/1995
• Issued: 05/19/1998
• Est. Priority Date: 11/10/1994
• Status: Expired due to Term

• Current Assignee: Siemens Audiologische Technik GmbH (Siemens AG)
• Original Assignee: Siemens Audiologische Technik GmbH (Siemens AG)
• Inventors: Weinfurtner, Oliver
• Primary Examiner(s): Kuntz, Curtis
• Assistant Examiner(s): Barnie, Rexford N.
• Application Number:
  US08/515,907
• Time in Patent Office: 1,007 Days
• Field of Search: 381/68-69.2, 395/2.11, 395/3, 600/25, 600/27
• US Class Current: 381/316
• CPC Class Codes: H04R 2225/41 Detection or adaptation of hearing aid parameters or programs to listening situation, e.g. pub, forest
• CPC Class Codes: H04R 25/507 implemented by neural network or fuzzy logic

Abstract

A programmable hearing aid has improved signal processing, particularly improved separation of the useful signals from unwanted noise, by virtue of signals of the signal path from at least one microphone to the earphone being conducted through a neural network and being processed therein.

Claims

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

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

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

8. 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.

12. 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.

13. 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.

14. A hearing aid as claimed in claim 13 wherein said function comprises

15. 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.

16. 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.

17. 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.

18. 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.

19. 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.

9. 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.

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

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

20. 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.

21. 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.

22. 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.

23. 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.

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

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

26. 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.

27. 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.

28. 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.

29. A hearing aid as claimed in claim 28 wherein said function comprises

30. 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.

31. 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.

32. 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.

33. 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.

34. 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.

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