Background In biomedical text mining, named entity recognition (NER) is an important task
used to extract information from biomedical articles. Previously proposed methods for NER …

There have been many changes in the medical field due to technological advances. The
progression in technologies provides lot of opportunities to extract valuable insights from …

Speech Emotion Recognition (SER) makes it possible for machines to perceive affective
information. Our previous research differed from conventional SER endeavours in that it …

Bidirectional long short-term memory (BLSTM) recurrent neural network (RNN) has
achieved state-of-the-art performance in many sequence processing problems given its …

Prosodic cues such as the word prominence play a fundamental role in human
communication, eg, to express important information. Since different speakers use a wide …

In this paper we investigate the audio-visual processing of linguistic prosody, more precisely
the detection of word prominence, and examine how the additional visual information can be …

Emphasis detection is important for user intention understanding in human-computer
interaction scenario. Techniques have been developed to detect the emphatic words in …

We investigate how word prominence can be detected from the acoustic signal and
movements of the speaker's head and mouth. Our research is based on a corpus with 12 …

This paper proposes a new framework for emphasis detection from natural speech, where
emphasis refers to a word or part of a word perceived as standing out from its surrounding …

To understand speakers' attitudes and intentions in real Voice Dialogue Applications
(VDAs), effective emphasis inference from users' queries may play an important role …