The ability to understand and manage social signals of a person we are communicating with
is the core of social intelligence. Social intelligence is a facet of human intelligence that has …

The ability to understand and manage social signals of a person we are communicating with
is the core of social intelligence. Social intelligence is a facet of human intelligence that has …

Spontaneous conversation is optimized for human-human communication, but differs in
some important ways from the types of speech for which human language technology is …

This paper describes BiLSTM-based models to disfluency detection in speech transcripts
using residual BiLSTM blocks, self-attention, and noisy training approach. Our best model …

In Modern Standard Arabic texts are typically written without diacritical markings. The
diacritics are important to clarify the sense and meaning of words. Lack of these markings …

It is estimated that around 70 million people worldwide are affected by a speech disorder
called stuttering. With recent advances in Automatic Speech Recognition (ASR), voice …

Automatic Speech Recognition (ASR) based on Recurrent Neural Network Transducers
(RNN-T) is gaining interest in the speech community. We investigate data selection and …

Stuttering is a speech disorder that, if treated during childhood, may be prevented from
persisting into adolescence. A clinician must first determine the severity of stuttering …

Hidden Markov Model (HMM) is very rich in mathematical structure and hence can form the
theoretical basis for use in a wide range of applications including gesture representation …

Evaluating children's reading aloud proficiency is typically a task done by teachers on an
individual basis, where reading time and wrong words are marked manually. A …