DETERMINING CUSTOMER SERVICE QUALITY THROUGH DIGITIZED VOICE CHARACTERISTIC MEASUREMENT AND FILTERING
First Claim
1. A computerized method for determining customer service quality through digitized voice characteristic measurement and filtering, the method comprising:
- capturing, by a voice analysis module of a computing device, a first digitized voice segment from a remote device, the first digitized voice segment corresponding to speech submitted by a user of the remote device during a voice call;
extracting, by the voice analysis module, a first set of voice features of the user from the first digitized voice segment;
determining, by the voice analysis module, an emotion level of the user based upon the first set of voice features;
capturing, by the voice analysis module, a second digitized voice segment from the remote device, the second digitized voice segment corresponding to speech submitted by the user during the voice call;
extracting, by the voice analysis module, a second set of voice features of the user from the second digitized voice segment;
determining, by the voice analysis module, a change in the emotion level of the user by comparing the first set of voice features to the second set of voice features;
normalizing, by the voice analysis module, the change in the emotion level of the user using one or more emotion influence factors; and
generating, by the voice analysis module, a customer service score for the voice call based upon the normalized change in the emotion level of the user.
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Abstract
Methods and apparatuses are described for determining customer service quality through digitized voice characteristic measurement and filtering. A voice analysis module captures a first digitized voice segment corresponding to speech submitted by a user of a remote device. The voice analysis module extracts a first set of voice features from the first voice segment, and determines an emotion level of the user based upon the first set of voice features. The voice analysis module captures a second digitized voice segment corresponding to speech submitted by the user. The voice analysis module extracts a second set of voice features from the second voice segment, and determines a change in the emotion level of the user by comparing the first set of voice features to the second set of voice features. The module normalizes the change in the emotion level of the user using emotion influence factors, and generates a service score.
38 Citations
25 Claims
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1. A computerized method for determining customer service quality through digitized voice characteristic measurement and filtering, the method comprising:
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capturing, by a voice analysis module of a computing device, a first digitized voice segment from a remote device, the first digitized voice segment corresponding to speech submitted by a user of the remote device during a voice call; extracting, by the voice analysis module, a first set of voice features of the user from the first digitized voice segment; determining, by the voice analysis module, an emotion level of the user based upon the first set of voice features; capturing, by the voice analysis module, a second digitized voice segment from the remote device, the second digitized voice segment corresponding to speech submitted by the user during the voice call; extracting, by the voice analysis module, a second set of voice features of the user from the second digitized voice segment; determining, by the voice analysis module, a change in the emotion level of the user by comparing the first set of voice features to the second set of voice features; normalizing, by the voice analysis module, the change in the emotion level of the user using one or more emotion influence factors; and generating, by the voice analysis module, a customer service score for the voice call based upon the normalized change in the emotion level of the user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A system for determining customer service quality through digitized voice characteristic measurement and filtering, the system comprising a voice analysis module of a computing device, the voice analysis module configured to
capture a first digitized voice segment from a remote device, the first digitized voice segment corresponding to speech submitted by a user of the remote device during a voice call; -
analyze the first digitized voice segment for a first set of voice features of the user; determine an emotion level of the user based upon the first set of voice features; capture a second digitized voice segment from the remote device, the second digitized voice segment corresponding to speech submitted by the user during the voice call; analyze the second digitized voice segment for a second set of voice features of the user; determine a change in the emotion level of the user by comparing the first set of voice features to the second set of voice features; normalize the change in the emotion level of the user using one or more emotion influence factors; and generate a customer service score for the voice call based upon the normalized change in the emotion level of the user. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A computer program product, tangibly embodied in a non-transitory computer readable storage device, for determining customer service quality through digitized voice characteristic measurement and filtering, the computer program product including instructions operable to cause a voice analysis module of a computing device to
capture a first digitized voice segment from a remote device, the first digitized voice segment corresponding to speech submitted by a user of the remote device during a voice call; -
analyze the first digitized voice segment for a first set of voice features of the user; determine an emotion level of the user based upon the first set of voice features; capture a second digitized voice segment from the remote device, the second digitized voice segment corresponding to speech submitted by the user during the voice call; analyze the second digitized voice segment for a second set of voice features of the user; determine a change in the emotion level of the user by comparing the first set of voice features to the second set of voice features; normalize the change in the emotion level of the user using one or more emotion influence factors; and generate a customer service score for the voice call based upon the normalized change in the emotion level of the user.
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Specification