In this paper we present an efficient speech recognition approach for multitopic speech by
combining information retrieval techniques and topic-based language modeling. Information …

We describe the work on infusion of emotion into a limited-task autonomous spoken
conversational agent situated in the domestic environment, using a need-inspired task …

The design and development of spoken interaction systems has been a thoroughly studied
research scope for the last decades. The aim is to obtain systems with the ability to interact …

La última década ha sido testigo de importantes avances en el campo de la tecnología de
reconocimiento de voz. Los sistemas comerciales existentes actualmente poseen la …

User-centric Need-driven Affect Modeling for Spoken Conversational Agents: Design and
Evaluation Page 1 DEPARTAMENTO DE INGENIERÍA ELECTRÓNICA Escuela Técnica …

This paper presents a dynamic LM adaptation based on the topic that has been identified on
a speech segment. We use LSA and the given topic labels in the training dataset to obtain …

The last decade has witnessed major advances in speech recognition technology. Today's
commercial systems are able to recognize continuous speech from numerous speakers, with …

This paper considers the research question of developing user-aware and adaptive
conversational agents. The conversational agent is a system which is user-aware to the …

Abstract Automatic Speech Recognition (ASR) is translation of spoken words into text by
computer. ASR technology has been widely integrated into many systems. However, Arabic …

Sequence data that exhibits power-law behavior in its marginal and conditional distributions
arises frequently from natural processes, with natural language text being a prominent …