Step by step guide to speech signal processing for emotion recognition
Answers
Answer:
An emotion recognition method using tone and tempo information, according to one aspect of the present invention, comprises the steps of: receiving a voice signal of a user as input; detecting a voice section by dividing the voice signal into a voice section and a non-voice section by using an integral of absolute value; extracting tone information and tempo information from the detected voice section; and extracting emotion information from two or more neural networks by using the tone information and tempo information, wherein the emotion information is extracted by having, among the neural networks, a first neural network distinguish between a regular emotion and a sad emotion, and a second neural network distinguish between a happy emotion and an angry emotion.
Explanation:
Emotion Recognition Method and Device Using Voice Tone and Tempo Information
The present invention relates to voice signal processing, and more particularly, to a method and apparatus for recognizing a speaker's emotion using tone and tempo information of a voice signal.
The communication and recognition of emotions is a very important factor in communication, which is necessary for accurate communication not only between humans but also between humans and animals or between humans and machines.
Communication between people involves the transfer of emotions and perceptions through various factors, such as voice, gestures, and facial expressions, individually or in combination.