In this paper we propose a novel non-parametric sampling approach to estimate posterior distributions from parameters of interest. This technique is particularly suited for models...
Alejandro Villagran, Gabriel Huerta, Marina Vannuc...
Common factor analysis (CFA) and principal component analysis (PCA) are widely used multivariate techniques. Using simulations, we compared CFA with PCA loadings for distortions o...
Language transfer creates a challenge for Chinese (L1) speakers in acquiring English (L2) rhythm. This appears to be a widely encountered difficulty among foreign learners of Eng...
Phonological studies suggest that the typical subword units such as phones or phonemes used in automatic speech recognition systems can be decomposed into a set of features based ...
This paper describes an optimal algorithm using continuous state Hidden Markov Models for solving the HMS decoding problem, which is the problem of recovering an underlying sequen...
Hybrid deep neural network–hidden Markov model (DNN-HMM) systems have become the state-of-the-art in automatic speech recognition. In this paper we experiment with DNN-HMM phone...
This paper describes the ALISA tool, which implements a lightly supervised method for sentence-level alignment of speech with imperfect transcripts. Its intended use is to enable ...
Remote laboratories have emerged as a viable addition to the tools supporting experiential learning. The advent of Remote Laboratory Management Systems (...
David B. Lowe, Herbert Yeung, Mohamed Tawfik, Elio...