Emotional and/or psychiatric state detection
First Claim
1. A method of classifying a current mental state of a person by analysing natural speech of the person, the method comprising:
- receiving a natural speech signal obtained from the person;
pre-processing the natural speech signal to effect frame extraction;
extracting a glottal waveform from frames of the speech signal;
retrieving pre-determined parameters, the parameters being derived from selected training glottal waveform features and the parameters defining at least one diagnostic class in accordance with a classifier;
extracting selected glottal waveform features from the glottal waveform of the speech signal; and
classifying the current mental state of the person by comparing the extracted selected glottal waveform features with the parameters and the classifier.
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Accused Products
Abstract
Mental state of a person is classified in an automated manner by analysing natural speech of the person. A glottal waveform is extracted from a natural speech signal. Pre-determined parameters defining at least one diagnostic class of a class model are retrieved, the parameters determined from selected training glottal waveform features. The selected glottal waveform features are extracted from the signal. Current mental state of the person is classified by comparing extracted glottal waveform features with the parameters and class model. Feature extraction from a glottal waveform or other natural speech signal may involve determining spectral amplitudes of the signal, setting spectral amplitudes below a pre-defined threshold to zero and, for each of a plurality of sub bands, determining an area under the thresholded spectral amplitudes, and deriving signal feature parameters from the determined areas in accordance with a diagnostic class model.
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Citations
18 Claims
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1. A method of classifying a current mental state of a person by analysing natural speech of the person, the method comprising:
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receiving a natural speech signal obtained from the person; pre-processing the natural speech signal to effect frame extraction; extracting a glottal waveform from frames of the speech signal; retrieving pre-determined parameters, the parameters being derived from selected training glottal waveform features and the parameters defining at least one diagnostic class in accordance with a classifier; extracting selected glottal waveform features from the glottal waveform of the speech signal; and classifying the current mental state of the person by comparing the extracted selected glottal waveform features with the parameters and the classifier. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computing device for classifying a current mental state of a person by analysing natural speech of the person, the computing device comprising a processor configured to:
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receive a natural speech signal obtained from the person; pre-process the natural speech signal to effect frame extraction; extract a glottal waveform from frames of the speech signal; retrieve pre-determined parameters, the parameters being derived from selected training glottal waveform features and the parameters defining at least one diagnostic class in accordance with a classifier; extract selected glottal waveform features from the glottal waveform of the speech signal; and classify the current mental state of the person by comparing the extracted selected glottal waveform features with the parameters and the classifier. - View Dependent Claims (12, 13)
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14. A non-transitory computer storage medium comprising a plurality of computer program instructions to make a computer execute a process for classifying a current mental state of a person by analysing natural speech of the person, the process comprising:
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receiving a natural speech signal obtained from the person; pre-processing the natural speech signal to effect frame extraction; extracting a glottal waveform from frames of the speech signal; retrieving pre-determined parameters, the parameters being derived from selected training glottal waveform features and the parameters defining at least one diagnostic class in accordance with a classifier; extracting selected glottal waveform features from the glottal waveform of the speech signal; and classifying the current mental state of the person by comparing the extracted selected glottal waveform features with the parameters and the classifier.
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15. A method of classifying a current mental state of a person by analysing natural speech of the person, the method comprising:
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receiving a natural speech signal obtained from the person; pre-processing the natural speech signal to effect frame extraction; determining spectral amplitudes of frames of the speech signal; setting the spectral amplitudes that are below a pre-defined threshold to zero, to produce thresholded spectral amplitudes; for each of a plurality of sub bands, determining an area under the thresholded spectral amplitudes, and deriving signal feature parameters from the determined areas in accordance with a classifier; retrieving pre-determined parameters, the parameters being derived from training signal features and the parameters defining at least one diagnostic class in accordance with the classifier; and classifying the current mental state of the person by comparing derived signal feature parameters with the pre-determined parameters and the classifier.
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16. A computing device for classifying a current mental state of a person by analysing natural speech of the person, the computing device comprising a processor configured to:
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receive a natural speech signal obtained from the person; pre-process the natural speech signal to effect frame extraction; determine spectral amplitudes of frames of the speech signal; set the spectral amplitudes that are below a pre-defined threshold to zero, to produce thresholded spectral amplitudes; for each of a plurality of sub bands, determine an area under the thresholded spectral amplitudes, and derive signal feature parameters from the determined areas in accordance with a classifier; retrieve pre-determined parameters, the parameters being derived from training signal features and the parameters defining at least one diagnostic class in accordance with the classifier; and classify the current mental state of the person by comparing derived signal feature parameters with the pre-determined parameters and the classifier. - View Dependent Claims (17)
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18. A non-transitory computer storage medium comprising a plurality of computer program instructions to make a computer execute a process for classifying a current mental state of a person by analysing natural speech of the person, the process comprising:
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receiving a natural speech signal obtained from the person; pre-processing the natural speech signal to effect frame extraction; determining spectral amplitudes of frame of the speech signal; setting the spectral amplitudes that are below a pre-defined threshold to zero, to produce thresholded spectral amplitudes; for each of a plurality of sub bands, determining an area under the thresholded spectral amplitudes, and deriving signal feature parameters from the determined areas in accordance with a classifier; retrieving pre-determined parameters, the parameters being derived from training signal features and the parameters defining at least one diagnostic class in accordance with the classifier; and classifying the current mental state of the person by comparing derived signal feature parameters with the pre-determined parameters and the classifier.
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Specification