Machine for Emotion Detection (MED) in a communications device
First Claim
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1. A specialized machine for emotion detection, the machine comprising:
- a) transducer or microphone for accepting an analog signal;
b) an analog to digital converter (ADC) for converting the analog signal to a digital signal;
c) a digital signal processor to compress the digital signal;
d) a digital signal processor to decompress the digital signal;
e) a vocoder used to detect signal features indicative of emotion within of the decompressed digital signal by;
i. converting the decompressed digital signal from a time domain signal to a frequency domain signal;
ii. extracting a number of frequency ranges from the frequency domain signal;
iii. measuring variations in the extracted frequency regions, from the group of variations comprising;
amplitude, and zero crossing rate;
f) a first database to store the measured variations in the extracted frequency regions;
g) a second database of previously measured variations of frequency regions of decompressed signals with emotion values associated with the previously measured variations of frequency regions;
i) a microprocessor unit used to compare measured variations of the first database to stored variations of the second database and to report any matching variations and any associated emotion values from the second database.
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Abstract
A system and method monitors the emotional content of human voice signals after the signals have been compressed by standard telecommunication equipment. By analyzing voice signals after compression and decompression, less information is processed, saving power and reducing the amount of equipment used. During conversation, a user of the disclosed methodology may obtain information in various formats regarding the emotional state of the other party. The user may then view the veracity, composure, and stress level of the other party. The user may also view the emotional content of their own transmitted speech.
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Citations
6 Claims
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1. A specialized machine for emotion detection, the machine comprising:
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a) transducer or microphone for accepting an analog signal; b) an analog to digital converter (ADC) for converting the analog signal to a digital signal; c) a digital signal processor to compress the digital signal; d) a digital signal processor to decompress the digital signal; e) a vocoder used to detect signal features indicative of emotion within of the decompressed digital signal by; i. converting the decompressed digital signal from a time domain signal to a frequency domain signal; ii. extracting a number of frequency ranges from the frequency domain signal; iii. measuring variations in the extracted frequency regions, from the group of variations comprising;
amplitude, and zero crossing rate;f) a first database to store the measured variations in the extracted frequency regions; g) a second database of previously measured variations of frequency regions of decompressed signals with emotion values associated with the previously measured variations of frequency regions; i) a microprocessor unit used to compare measured variations of the first database to stored variations of the second database and to report any matching variations and any associated emotion values from the second database. - View Dependent Claims (2, 3, 4, 5, 6)
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Specification