A novel framework of a probabilistic-based mixture regression model (PMRM) is presented for alignment of multiple liquid chromatography-mass spectrometry (LC-MS) data with respect to retention time (RT) and mass-to-charge ratio (m/z). The expectation maximization algorithm is used to estimate the joint parameters of spline-based mixture regression models and prior transformation density models....

Distinguishing among the different seismic volcanic patterns is still one of the most important and laborintensive tasks for volcano monitoring. This task could be lightened and made free from subjective bias by using automatic classification techniques. In this context, a core but often overlooked issue is the choice of an appropriate representation of the data to be classified. Recently, it h...

A system is described which measures the similarity of two arbitrary rhythmic patterns. The patterns are represented as acoustic signals, and are not assumed to have been performed with similar sound sets. Two novel methods are presented that constitute the algorithmic core of the system. First, a probabilistic musical meter estimation process is described, which segments a continuous musical s...

Shadowing has become a well-known method to improve learners’ overall proficiency. Our previous studies realized automatic scoring of shadowing speech using HMM phoneme posteriors, called GOP (Goodness of Pronunciation) and learners’ TOEIC scores were predicted adequately. In this study, we enhance our studies from multiple angles: 1) a much larger amount of shadowing speech is collected, 2) ma...

Aphasia is an acquired language disorder resulting from brain damage that can cause significant communication difficulties. Aphasic speech is often characterized by errors known as paraphasias, the analysis of which can be used to determine an appropriate course of treatment and to track an individual’s recovery progress. Being able to detect paraphasias automatically has many potential clinica...

This study presents a two-stage spoken term detection (STD) method that uses the same STD engine twice and a support vector machine (SVM)-based classifier to verify detected terms from the STD engine’s output. In a front-end process, the STD engine is used to preindex target spoken documents from a keyword list built from an automatic speech recognition result. The STD result includes a set of ...

This paper describes the experiments and observations for Query-by-Example Search on Speech Task (QUESST) at MediaEval 2014. In this paper, we describe two different representations of speech that were explored for the task. We also show the capabilities and limitations of non-segmental dynamic time warping (NS-DTW) technique for searching various types of queries. This paper mainly focuses on ...

A method is presented to help users look up the meaning of an unknown sign from American Sign Language (ASL). The user submits a video of the unknown sign as a query, and the system retrieves the most similar signs from a database of sign videos. The user then reviews the retrieved videos to identify the video displaying the sign of interest. Hands are detected in a semi-automatic way: the syst...