M.E. Martinez

Universidad Autónoma de Ciudad Juárez

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S.E. Garner

Los Alamos National Laboratory

Clair J. Sullivan

University of Illinois Urbana-Champaign

V. Herrero

Universitat Politècnica de València

Karla Olmos-Sánchez

Universidad Autónoma de Ciudad Juárez

A. Santos

Universidad Politécnica de Madrid

R. Martínez

Universidad Politécnica de Madrid

Vicente Arnau

Universitat de València

Francisco López-Orozco

Universidad Autónoma de Ciudad Juárez

R.J. Colom

Universitat Politècnica de València

Antonio Quilis

Unidades Centrales Científico-Técnicas

Cooperative Institutions

Universitat de València

Universitat Politècnica de València

Instituto de Instrumentación para Imagen Molecular

Universidad Politécnica de Madrid

Universidad Autónoma de Ciudad Juárez

Universidad Autónoma de Ica

Consejo Superior de Investigaciones Científicas

Los Alamos National Laboratory

Instituto de Salud Carlos III

Centro de Investigación Biomédica en Red

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Wavelet Analysis of Sodium Iodide Spectra

IEEE Nuclear Science Symposium conference record (2006)

Clair J. Sullivan M.E. Martinez S.E. Garner

Wavelet analysis is a mathematical technique that was presented in the mid-1980s to solve a variety of problems in signal analysis where the signal is aperiodic, noisy, transient, etc. More recently, wavelets have been applied to other problems such as feature detection and localization, making it a very promising tool for the analysis of gamma-ray spectra. Recent results have also shown that this technique has the potential to benefit over other approaches due to the fact that the signal can simultaneously be analyzed over multiple scales by using wavelet analysis, thus eliminating potential false isotope identifications from artifacts such as the Compton edge and backscatter peaks. This implies that this peak localization algorithm is no longer a function of detector resolution, which changes with energy. We will present our results evaluating the technique of wavelet analysis for low-resolution (NaI) gamma-ray spectra. Emphasis will be placed on wavelet selection and the incorporation of a simple algorithm to the problem of isotope identification

SIGNAL (programming language)

10.1109/nssmic.2005.1596258

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Citations (4)

Real time text-to-speech conversion system for spanish

J.C. Olabe A. Santos R. Martínez Erika Caballero Muñoz M.E. Martinez

Research aiming to develop a text-to-speech converter (TSC) for Spanish, that accepts a continuous source of alphanumeric characters (up to 250 words per minute) and produces good quality, natural Spanish output, is described. Four sets of problems are considered in this work: the hard-ware structure adopted for real time operation; the complex control software needed to handle the orthographic input and linguistic programs; the linguistic processing rules, and the parametrization of the Spanish language matched to a TSC. Emphasis is made on the problems of adapting a general hardware structure to a specific language.

Alphanumeric

Parametrization (atmospheric modeling)

Emphasis (telecommunications)

10.1109/icassp.1984.1172429

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Citations (10)

Wavelet Analysis of Sodium Iodide Spectra

IEEE Transactions on Nuclear Science (2006)

Clair J. Sullivan M.E. Martinez S.E. Garner

SIGNAL (programming language)

10.1109/tns.2006.881909

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Citations (42)

Transformada Discreta Wavelet 2-D para procesamiento de video en tiempo real.

R.J. Colom Rafael Gadea Gironés Á. Sebastiá M.E. Martinez V. Herrero

Source

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Mispronunciation Detection and Diagnosis Through a Chatbot

Advances in computational intelligence and robotics book series (2020)

M.E. Martinez Francisco López-Orozco Karla Olmos-Sánchez Julia Patricia Sánchez-Solís

The interaction between humans and machines has evolved; thus, the idea of being able to communicate with computers as we usually do with other people is becoming increasingly closer to coming true. Nowadays, it is common to come across intelligent systems named chatbots, which allow people to communicate by using natural language to hold conversations related to a specific domain. Chatbots have gained popularity in different kinds of sectors, such as customer service, marketing, sales, e-commerce, e-learning, travel, and even in education itself. This chapter aims to present a chatbot-based approach to learning English as a second language by using computer-assisted language learning systems.

Chatbot

Popularity

Customer Service

10.4018/978-1-7998-4730-4.ch002

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Citations (1)

Improving naturalness in a text-to-speech system with a new fundamental frequency algorithm

Plínio Moreno M.E. Martinez José Manuel Pardo Juán A. Vallejo

10.21437/eurospeech.1989-102

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Citations (4)