This work uses instantaneous pitch and strength of excitation along with duration of syllable-like units as the parameters for emotion conversion. Instantaneous pitch and duration of the syllable-like units of the neutral speech are modified by the prosody modification of its linear prediction (LP) residual using the instants of significant excitation. The strength of excitation is modified by ...

Research on the facial expression of emotion distinguishes between correlates of posed vs. spontaneous emotion expression. Similar research in the vocal domain is lacking. In this study, we compare changes in a range of vocal parameters between posed vs. spontaneous adult-directed (AD) and child–directed (CD) speech. CDS is a highly affectively charged speech register which lends itself well to...

Speech emotion is divided into four categories, Fear, Happy, Neutral and Surprise in this paper. Traditional features and their statistics are generally applied to recognize speech emotion. In order to quantify each feature’s contribution to emotion recognition, a method based on the Back Propagation (BP) neural network is adopted. Then we can obtain the optimal subset of the features. What’s m...

We investigate an effective feature extraction front-end for speech emotion recognition, which performs well in clean and noisy conditions. First, we explore the use of perceptual minimum variance distortionless response (PMVDR). These features, originally proposed for accent/dialect and language identification (LID), can better approximate the perceptual scales and are less sensitive to noise ...

One of the greatest challenges in speech technology is estimating the speaker’s emotion. Most of the existing approaches concentrate either on audio or text features. In this work, we propose a novel approach for emotion classification of audio conversation based on both speech and text. The novelty in this approach is in the choice of features and the generation of a single feature vector for ...

Past attempts to model emotions for speech synthesis have focused on extreme, “basic” emotion categories. The present paper suggests an alternative representation of emotional states, by means of emotion dimensions, and explains how this approach can contribute to making speech synthesis a useful component of affective dialogue systems.

Recently, the importance of reacting to the emotional state of a user has been generally accepted in the field of human-computer interaction and especially speech has received increased focus as a modality from which to automatically deduct information on emotion. So far, mainly academic and not very application-oriented offline studies based on previously recorded and annotated databases with ...

PURPOSE This study experimentally investigated behavioral correlates of emotional reactivity and emotion regulation and their relation to speech (dis)fluency in preschool-age children who do (CWS) and do not (CWNS) stutter during emotion-eliciting conditions. METHOD Participants (18 CWS, 14 boys; 18 CWNS, 14 boys) completed two experimental tasks (1) a neutral ("apples and leaves in a transpa...

We propose a new approach to synthesizing emotional speech by a corpus-based concatenative speech synthesis system (ATR CHATR) using speech corpora of emotional speech. In this study, neither emotional-dependent prosody prediction nor signal processing per se is performed for emotional speech. Instead, a large speech corpus is created per emotion to synthesize speech with the appropriate emotio...

Recent studies suggest that the time course for recognizing vocal expressions of basic emotion in speech varies significantly by emotion type, implying that listeners uncover acoustic evidence about emotions at different rates in speech (e.g., fear is recognized most quickly whereas happiness and disgust are recognized relatively slowly; Pell and Kotz, 2011). To investigate whether vocal emotio...