An Analysis of Formants Extracted from Emotional Speech and Acoustical Implications for the Emotion Recognition System and Speech Recognition System

독일어 감정음성에서 추출한 포먼트의 분석 및 감정인식 시스템과 음성인식 시스템에 대한 음향적 의미

Formant structure of speech associated with five different emotions (anger, fear, happiness, neutral, sadness) was analysed. Acoustic separability of vowels (or emotions) associated with a specific emotion (or vowel) was estimated using F-ratio. According to the results, neutral showed the highest separability of vowels followed by anger, happiness, fear, and sadness in descending order. Vowel /A/ showed the highest separability of emotions followed by /U/, /O/, /I/ and /E/ in descending order. The acoustic results were interpreted and explained in the context of previous articulatory and perceptual studies. Suggestions for the performance improvement of an automatic emotion recognition system and automatic speech recognition system were made.