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SPEECH EMOTION RECOGNIZER USING EMOJIS IN MACHINE LEARNING
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The research report used statistical analysis and experimentation to evaluate and assess the perceptual factors important for speaker verification and emotion recognition. Each speaker has used distinctive characteristics to convey a range of emotions. Strong automatic speaker verification systems have been developed using these speaker-based variances in characteristics. This paper presents the application to recognizer speech emotion by using emoji’s. Using statistical analysis and experimental methods, the research paper investigated and appraised the perceptual elements essential for speaker verification and emotion recognition. Each speaker has used their distinctive features to convey a range of emotions. Powerful automatic speaker verification systems have been built using these speaker-based variances in features.
Title: SPEECH EMOTION RECOGNIZER USING EMOJIS IN MACHINE LEARNING
Description:
The research report used statistical analysis and experimentation to evaluate and assess the perceptual factors important for speaker verification and emotion recognition.
Each speaker has used distinctive characteristics to convey a range of emotions.
Strong automatic speaker verification systems have been developed using these speaker-based variances in characteristics.
This paper presents the application to recognizer speech emotion by using emoji’s.
Using statistical analysis and experimental methods, the research paper investigated and appraised the perceptual elements essential for speaker verification and emotion recognition.
Each speaker has used their distinctive features to convey a range of emotions.
Powerful automatic speaker verification systems have been built using these speaker-based variances in features.
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