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Emotion recognition method, device and computer readable storage medium

An emotion recognition and recognition module technology, applied in speech analysis, biological neural network models, instruments, etc., can solve the problem of not being able to comprehensively consider semantic and speech features, and achieve the effect of improving the emotion recognition rate

Pending Publication Date: 2019-06-07
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For this aspect, there is currently no method that can comprehensively consider semantic and phonetic features.

Method used

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  • Emotion recognition method, device and computer readable storage medium
  • Emotion recognition method, device and computer readable storage medium
  • Emotion recognition method, device and computer readable storage medium

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Embodiment Construction

[0028] Embodiments of the emotion recognition method, device, and computer-readable storage medium of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art would recognize that the described embodiments can be modified in various ways or combinations thereof without departing from the spirit and scope of the invention. Accordingly, the drawings and description are illustrative in nature and not intended to limit the scope of the claims. Also, in this specification, the drawings are not drawn to scale, and like reference numerals denote like parts.

[0029] figure 1 A schematic flow chart of an emotion recognition method provided by an embodiment of the present invention, the method includes the following steps:

[0030] Step S10, receiving audio data, generating a speech spectrogram for the audio data (referring to a section of speech), and inputting the speech spectrogram into the first recognition module, and in...

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Abstract

The scheme relates to artificial intelligence, and provides an emotion recognition method, a device and a computer readable storage medium, andthe method comprises the following steps of: receiving audio data, generating a voice spectrum graph aiming at the audio data, inputting the voice spectrum graph to a first recognition module, inputting the audio data to a second recognition module, whereinthe first recognition module extracts a first feature vector by adopting a DCNN network and an RNN network which are sequentially connected the second recognition module extracts a MFCC from audio data, andthe MFCC is transformed into a second feature vector by s non-linear transformation;and the first and second feature vectors output from the first and second recognition modules are connected to form a combined feature and be input into a full connection layer and a soft Max layer in turn for emotional recognition.. By means of the scheme, the combination of the DCNN and the RNN is beneficial for simulating subtle local emotion clues, the MFCC describes voice characteristics in a short time, more emotion related features are captured through two features extraction modes, and the emotion recognition rate is improved.

Description

technical field [0001] The present invention relates to artificial intelligence, in particular to an emotion recognition method, device and computer-readable storage medium. Background technique [0002] Accident investigation is a very important step after various accidents. People need to find out the human and external causes of accidents through this step, and issue investigation reports to remind others to avoid such tragedies from happening again. In many large-scale accidents, such as air accidents, the key parties are likely to be killed in the accident, which brings great difficulties to the investigation work. Investigators had to use the wreckage at the crash site and the information in the black boxes to deduce what caused the crash. Among the black boxes used by modern aircraft, a very important content is the cockpit recording, which records all the conversations and abnormal sounds in the cockpit during the period from takeoff to accident. As for emotion rec...

Claims

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Application Information

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IPC IPC(8): G10L25/63G10L25/30G10L25/24G06N3/04G10L25/18
Inventor 彭俊清王健宗
Owner PING AN TECH (SHENZHEN) CO LTD
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