Speech audiometry test method using voice recognition and associated electronic device
AssigneeMy Medical Assistant
InventorsNicolas WALLAERT, Hadrien JEAN
Life of this patent
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Abstract
A method of speech audiometry testing of a first patient includes first acoustic emission of the recording of a linguistic expression comprising at least one emission phoneme, first acoustic reception of a first vocal response from the first patient to the first acoustic emission comprising at least one response phoneme, determination, by an artificial neural network including an input and an output, on the basis of input data obtained from the first response, of a first output character string representative of at least one response phoneme, and comparison of the first character string with a second character string, representative of said at least one input phoneme.
Claims20
A method of speech audiometry testing of a first patient comprising the following steps:
- first acoustic emission of a recording of a linguistic expression comprising at least one emission phoneme,
- first acoustic reception of a first vocal response from the first patient to the first acoustic emission comprising at least one response phoneme,
- determination, by an artificial neural network comprising an input and an output, from an input data item obtained from the first response, of a first output character string representative of the at least one response phoneme,
- comparison of the first character string with a second character string, representative of said at least one input phoneme, and
- prior to the determination step, the artificial neural network is trained by implementing the following training steps:
- second acoustic emission of the expression,
- second acoustic reception of a second vocal response from a second patient to the second acoustic emission, the second response comprising at least one training phoneme,
- reception of a third character string representative of at least one training phoneme, and
- supervised training of the artificial neural network from the second input response labelled by the third character string.
Dependencies are inferred from the claim text.