Research on speech processing has traditionally considered the task of designing hand-
engineered acoustic features (feature engineering) as a separate distinct problem from the …

Recently great strides have been made in the field of automatic speech recognition (ASR) by
using various deep learning techniques. In this study, we present a thorough comparison …

Speaker recognition is related to human biometrics dealing with the identification of
speakers from their speech. Speaker recognition is an active research area and being …

We propose the first approach to synthesize the synchronous 3D conversational body and
hand gestures, as well as 3D face and head animations, of a virtual character from speech …

Recent end-to-end Automatic Speech Recognition (ASR) systems demonstrated the ability
to outperform conventional hybrid DNN/HMM ASR. Aside from architectural improvements in …

In the previous decade, dozens of studies involving thousands of children across several
research disciplines have made use of a combined daylong audio-recorder and automated …

Communication is critical to collaboration; however, too much of it can degrade
performance. Motivated by the need for effective use of a robot's communication modalities …

The first step of most acoustic analyses unavoidably involves the alignment of recorded
speech sounds with their phonetic annotation. This step is very labor-intensive and cost …

Indigenous languages of the American continent are highly diverse. However, they have
received little attention from the technological perspective. In this paper, we review the …

We present a new interactive and online approach to 3D scene understanding. Our system,
SemanticPaint, allows users to simultaneously scan their environment whilst interactively …