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Analysis of emotional speech in voice mail messages: the influence of speakers' gender

This paper deals with the analysis of the emotional content of voice messages  left on an answering machine,  in  the context of a customer care service. The 103 messages which constitute the corpus are split  into 478 emotional phases. These phases are  then  used  as material  for  a  subjective  test  and  a  signal analysis. The  relation between  subjective data  and  acoustical data  is  then  explored  with  a  focus  drawn  on  inter-subject agreements  obtained  in  the  subjective  test  and  on  speakers' gender. The results show that the acoustical parameters which are relevant to differentiate emotions for male speakers differ from those able to differentiate emotions for female speakers, but also depend of the inter-subject agreement, which governs the number of observations.