TY - GEN
T1 - Speech emotion recognition using eigen-FFT in clean and noisy environments
AU - Eun, Ho Kim
AU - Kyung, Hak Hyun
AU - Soo, Hyun Kim
AU - Yoon, Keun Kwak
PY - 2007
Y1 - 2007
N2 - The ability to recognize human emotion is one of the basic techniques of human-robot interaction especially on emotional interaction points of view. Hence the purpose of this paper is to describe the realization of the recognition of emotion from a voice. Especially, this paper describes a speech emotion recognition technique using eigen-FFT. In the field of speech emotion recognition, recognition rate is important not only in clean but also in noisy environments. Hence, we constructed voice noise (or babble noise) data and performed recognition tests both in clean and noisy environments using the eigen-FFT. From the experiments, we achieved accuracy of 90.1±7.7% for four emotions at a 95% confidence interval and compared eigen-FFT with LPC, MFCC, and pitch in the clean environment. In the case of the noisy environments, eigen-FFT displayed superior performance over LPC, MFCC, and pitch.
AB - The ability to recognize human emotion is one of the basic techniques of human-robot interaction especially on emotional interaction points of view. Hence the purpose of this paper is to describe the realization of the recognition of emotion from a voice. Especially, this paper describes a speech emotion recognition technique using eigen-FFT. In the field of speech emotion recognition, recognition rate is important not only in clean but also in noisy environments. Hence, we constructed voice noise (or babble noise) data and performed recognition tests both in clean and noisy environments using the eigen-FFT. From the experiments, we achieved accuracy of 90.1±7.7% for four emotions at a 95% confidence interval and compared eigen-FFT with LPC, MFCC, and pitch in the clean environment. In the case of the noisy environments, eigen-FFT displayed superior performance over LPC, MFCC, and pitch.
UR - https://www.scopus.com/pages/publications/48749096269
U2 - 10.1109/ROMAN.2007.4415174
DO - 10.1109/ROMAN.2007.4415174
M3 - Conference paper
AN - SCOPUS:48749096269
SN - 1424416345
SN - 9781424416349
T3 - Proceedings - IEEE International Workshop on Robot and Human Interactive Communication
SP - 689
EP - 694
BT - 16th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2007
Y2 - 26 August 2007 through 29 August 2007
ER -