This paper presents a new framework for accumulating beliefs in spoken dialogue systems. The technique is based on updating a Bayesian Network that represents the underlying state...
This paper explores the approximation properties of a unique basis expansion, which realizes a bilinear frequency warping between a continuous-time signal and its discrete-time re...
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...
In many pattern recognition tasks, given some input data and a family of models, the “best” model is defined as the one which maximizes the likelihood of the data given the m...
Tara N. Sainath, Dimitri Kanevsky, Bhuvana Ramabha...
An interface for distant-talking control of home devices requires the possibility of identifying the positions of multiple users. Acoustic maps, based either on Global Coherence F...
Equalization techniques for room impulse responses (RIRs) are important in acoustic signal processing applications such as speech dereverberation. In practice, only approximate es...
Wancheng Zhang, Nikolay D. Gaubitch, Patrick A. Na...
An important task for multiparty meeting understanding is extracting action items. Action items are a set of tasks that are agreed on by the participants for execution after the m...
In this paper, we propose an algorithm to improve the performance of the mu-law PNLMS algorithm (MPNLMS) for nonsparse impulse responses. Although the existing MPNLMS algorithm wa...
This paper introduces a generalized cross-correlation (GCC) measure for spike train analysis derived from reproducing kernel Hilbert spaces (RKHS) theory. An estimator for GCC is ...