Previous work in speech-driven head motion synthesis is centred around Hidden Markov
Model (HMM) based methods and data that does not show a large variability of …

Automatic prediction of articulatory movements from speech or text can be beneficial for
many applications such as speech recognition and synthesis. A recent approach has …

Head motion naturally occurs in synchrony with speech and carries important intention,
attitude and emotion factors. This paper aims to synthesize head motions from natural …

Head motion generation task for speech-driven virtual agent animation is commonly
explored with handcrafted audio features, such as MFCCs as input features, plus additional …

This paper presents a neural network approach for speech-driven head motion synthesis,
which can automatically predict a speaker's head movement from his/her speech …

This study investigates the direct use of speech waveforms to predict head motion for
speech-driven head-motion synthesis, whereas the use of spectral features such as MFCC …

Motion capture (mocap) systems have been widely used to collect various human behavior
data. Despite existing numerous research efforts on mocap motion processing and …

Constructing a mapping between articulatory movements and corresponding speech could
significantly facilitate speech training and the development of speech aids for voice disorder …

Using speech or text to predict articulatory movements can have potential benefits for
speech related applications. Many approaches have been proposed to solve the acoustic-to …

Speech is the most common mode of human communication. As shown in Figure 1.1, the
process of communication involves three main events: the production of speech, the …