In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...
In this paper we conduct an exploratory experiment on context restoration in multi-tasking dialogue and report our preliminary findings. We examine a corpus of human-human dialog...
Human interaction depends on several individual factors such as personality, social relations, age or gender. But also the society we live in influences our behaviour. Thus cultur...
This paper investigates the impact of automatic sentence segmentation on speech summarization using the ICSI meeting corpus. We use a hidden Markov model (HMM) for sentence segmen...
Realistic audio-visual mapping remains a very challenging problem. Having short time delay between inputs and outputs is also of great importance. In this paper, we present a new ...