Exploració per altres contribucions "Hernando Pericás, Francisco Javier"
Ara es mostren els items 1-20 de 44
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A multi-microphone approach to speech processing in a smart-room environment
(Universitat Politècnica de Catalunya, 2007-06-29)
Tesi
Accés obertEls avenços recents en tecnologia informàtica i processament de la parla i del llenguatge, entre altres, han fet possible que noves maneres de comunicació entre les persones i les màquines comencin a semblar factibles. ... -
A system for robust iris recognition
(Universitat Politècnica de Catalunya, 2012-02-13)
Projecte/Treball Final de Carrera
Accés restringit per decisió de l'autor[ANGLÈS] Biometric technologies are becoming important due to the increasing demand for flexible and robust systems for identification and verification of individuals. In recent years, some biometrics has been proposed ... -
Acoustic classification of marine mammals by deep learning
(Universitat Politècnica de Catalunya, 2023-09-14)
Projecte Final de Màster Oficial
Accés obertThe classification of marine mammals has been an important topic for monitoring their population numbers. Many species of whales are considered endangered, making this task even more imperative. In this thesis two species ... -
Acoustic detection of marine mammals by deep learning
(Universitat Politècnica de Catalunya, 2023-10-18)
Projecte Final de Màster Oficial
Accés obertIn oceanography, specifically in the study of whales, the classification of the different species is an essential task for passive acoustic observation. It is fundamental for the tracking of some species that have become ... -
Age prediction by voice using deep learning
(Universitat Politècnica de Catalunya, 2023-01-30)
Projecte Final de Màster Oficial
Accés obertOne of the main topics in artificial intelligence is the speech characterization. Moreover, it is a field of study with the minimal scope when the Catalan language is involved in. In this project, we try to perform an age ... -
Análisis y diseño de Dataset para el reconocimiento de COVID-19 en señales de tos con Redes Neuronales Profundas
(Universitat Politècnica de Catalunya, 2022-05-23)
Treball Final de Grau
Accés obertThis project will try to improve the detection results of the COVID-19 disease as much as possible from acoustic signals of coughing through a convolutional neural network. To accomplish these objectives, we started with ... -
Augment de dades de veu per a sistemes de processament de la parla
(Universitat Politècnica de Catalunya, 2023-01-31)
Treball Final de Grau
Accés obertWe live in an era where intelligent systems are becoming more and more part of our lives. These systems require a large amount of data to learn different tasks and, in many cases, not enough content is available to train ... -
Caracterització de locutors usant deep learning
(Universitat Politècnica de Catalunya, 2018-06-26)
Treball Final de Grau
Accés obertDesenvolupament d'un sistema computacional capaç de comparar dos fitxers d'àudio, on parla una persona, i determinar si comparteixen locutor, amb un error òptim del 29,77%; i d'una interfície gràfica que l'utilitza. -
Catalan Accent Classification by Voice using Deep Learning
(Universitat Politècnica de Catalunya, 2023-05-25)
Projecte Final de Màster Oficial
Accés obertSpeech characterization is a vital field in artificial intelligence, yet accent classification is often overlooked, particularly for the Catalan language. This project is centered on the classification of Catalan accents ... -
Data Augmentation for Speech Processing
(Universitat Politècnica de Catalunya, 2023-07-07)
Treball Final de Grau
Accés obertDesarrollo de un programa de augmentación de datos para sistemas de processado del habla -
Deep learning bottle-neck features for speaker recognition
(Universitat Politècnica de Catalunya, 2018-10)
Treball Final de Grau
Accés obertSpeaker recognition is a very useful and powerful technology that has many interesting security applications, which makes it an investigation field to pour on many efforts. Recognizing whether a person is who he/she claims ... -
Deep Learning for Demographic Classification by Speech
(Universitat Politècnica de Catalunya, 2022-10-26)
Projecte Final de Màster Oficial
Accés obertSpeech characterization is a challenging task and one of the most relevant challenges in AI. Moreover, it is a field of study with minimal scope in the Catalan language. In this work, we try to perform a demographic ... -
Deep learning for i-vector speaker and language recognition
(Universitat Politècnica de Catalunya, 2018-05-29)
Tesi
Accés obertOver the last few years, i-vectors have been the state-of-the-art technique in speaker and language recognition. Recent advances in Deep Learning (DL) technology have improved the quality of i-vectors but the DL techniques ... -
Deep learning for speaker characterization
(Universitat Politècnica de Catalunya, 2022-07-05)
Treball Final de Grau
Accés obertLa caracterización de un locutor es una de las tareas más relevantes en muchas aplicaciones de inteligencia artificial. Del mismo modo que estas tecnologías mejoran y se aumenta la cantidad de datos disponibles, es también ... -
Deep Neural Networks for Channel Compensated i-Vectors in Speaker Recognition
(Universitat Politècnica de Catalunya, 2014-06)
Treball Final de Grau
Accés obertThis thesis explores the application of channel-compensation techniques in speaker verification and the posterior combination with deep learning technologies. The idea is to reduce the degradation of the performance due ... -
Design and evaluation of a conversational agent to support focused knowledge work
(Universitat Politècnica de Catalunya, 2022-09-15)
Projecte Final de Màster Oficial
Accés obertThe rise of social networks and the increase of notifications we receive on our phones has had a negative impact on the way people work. Distractions have become a more serious problem on such times when productivity is ... -
Detection and handling of overlapping speech for speaker diarization
(Universitat Politècnica de Catalunya, 2012-01-31)
Tesi
Accés obertFor the last several years, speaker diarization has been attracting substantial research attention as one of the spoken language technologies applied for the improvement, or enrichment, of recording transcriptions. ... -
Discriminative features for GMM and i-vector based speaker diarization
(Universitat Politècnica de Catalunya, 2017-09-20)
Tesi
Accés obertSpeaker diarization has received several research attentions over the last decade. Among the different domains of speaker diarization, diarization in meeting domain is the most challenging one. It usually contains spontaneous ... -
Diseño e implementación de un sistema de deep learning para la detección de covid por la tos con aumento de datos
(Universitat Politècnica de Catalunya, 2022-05-23)
Treball Final de Grau
Accés obertIn recent years, COVID-19 has had a major impact on today's society and has not gone unnoticed in the world of deep learning. Cases can now be studied using image analysis or in the world of audio analysis. This report ... -
Emociones en señales de voz: reconocimiento con redes neuronales profundas.
(Universitat Politècnica de Catalunya, 2021-10-27)
Treball Final de Grau
Accés obertIn recent years the research effort of different tasks is through neural network techniques. This work continues along this line and explores its possibilities in the task of speech emotion recognition (SER). In this work, ...
