With recent advances in machine-learning techniques for automatic speech analysis (ASA)-
the computerized extraction of information from speech signals-there is a greater need for …

Despite remarkable advances in emotion recognition, they are severely restrained from
either the essentially limited property of the employed single modality, or the synchronous …

Whispered speech, as an alternative speaking style for normal phonated (non-whispered)
speech, has received little attention in speech emotion recognition. Currently, speech …

During the last decade, speech emotion recognition technology has matured well enough to
be used in some real-life scenarios. However, these scenarios require an almost silent …

Speech emotion recognition (SER) aims to endow machines with the intelligence in
perceiving latent affective components from speech. However, the existing works on deep …

Body motion is an important channel for human communication and plays a crucial role in
automatic emotion recognition. This work proposes a multiscale spatio-temporal network …

With the explosive growth of mobile multimedia services and artificial intelligence
applications involving automatic speech analysis (ASA), mobile devices are increasingly …

Boosted by a wide potential application spectrum, emotional speech recognition, ie, the
automatic computer-aided identification of human emotional states based on speech …

Despite the great advances, most of the recently developed automatic speech recognition
systems focus on working in a server-client manner, and thus often require a high …

We demonstrate audEERING's sensAI technology running natively on low-resource mobile
devices applied to emotion analytics and speaker characterisation tasks. A show-case …