Exploració per autor "Hernando Pericás, Francisco Javier"
Ara es mostren els items 49-68 de 133
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Jitter and Shimmer measurements for speaker diarization
Zewoudie, Abraham Woubie; Luque, Jordi; Hernando Pericás, Francisco Javier (2014)
Text en actes de congrés
Accés obertJitter and shimmer voice quality features have been successfully used to characterize speaker voice traits and detect voice pathologies. Jitter and shimmer measure variations in the fundamental frequency and amplitude ... -
Language modelling for speaker diarization in telephonic interviews
India Massana, Miquel Àngel; Hernando Pericás, Francisco Javier; Rodríguez Fonollosa, José Adrián (Elsevier, 2023-03)
Article
Accés obertThe aim of this paper is to investigate the benefit of combining both language and acoustic modelling for speaker diarization. Although conventional systems only use acoustic features, in some scenarios linguistic data ... -
Linear prediction of the one-sided autocorrelation sequence for noisy speech recognition
Hernando Pericás, Francisco Javier; Nadeu Camprubí, Climent (1997-01)
Article
Accés obertThe article presents a robust representation of speech based on AR modeling of the causal part of the autocorrelation sequence. In noisy speech recognition, this new representation achieves better results than several other ... -
Llibre blanc sobre la intel·ligència artificial aplicada a la ciberseguretat
Reyes de los Mozos, Mario; Pozo, Abel; Calvo Ibáñez, Albert; Ortiz Rabella, Nil; Careglio, Davide; Hernando Pericás, Francisco Javier; Gibert, Karina (Centre of Innovation for Data Tech and Artificial Intelligence (CIDAI), 2023)
Llibre
Accés obertEls darrers anys els avanços a la ciència de la Intel·ligència Artificial han estat remarcables, tenint gran impacte en diferents sectors industrials i socials. Existeixen en la actualitat una gran quantitat d’exemples que ... -
Loquax: implementación de un sistema de reconocimiento de locutor en un ordenador personal
Jonatan, Lopez; Hernando Pericás, Francisco Javier (1996)
Text en actes de congrés
Accés obertSistematizar el reconocimiento de locutor, es decir, la capacidad de distinguir el propietario o propietaria de un fragmento de voz humana, es un objetivo perseguido desde los inicios del procesado de la señal y enmarcado ... -
LSTM neural network-based speaker segmentation using acoustic and language modelling
India Massana, Miquel Àngel; Rodríguez Fonollosa, José Adrián; Hernando Pericás, Francisco Javier (International Speech Communication Association (ISCA), 2017)
Comunicació de congrés
Accés obertThis paper presents a new speaker change detection system based on Long Short-Term Memory (LSTM) neural networks using acoustic data and linguistic content. Language modelling is combined with two different ... -
Maximum likelihood weighting of dynamic speech features for CDHMM speech recognition
Hernando Pericás, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 1997)
Text en actes de congrés
Accés obertSpeech dynamic features are routinely used in current speech recognition systems in combination with short-term (static) spectral features. Although many existing speech recognition systems do not weight both kinds of ... -
Modelado de la señal en reconocimiento de habla ruidosa
Pascual, E; Hernando Pericás, Francisco Javier; Mariño Acebal, José Bernardo; Gustavo, H (1996)
Text en actes de congrés
Accés obertConventional modelling techniques of speech suffer a very big performance degradation in adverse noisy environments. So, it is necessary to research for more robust representations of speech signal. This paper presents new ... -
Modelado de la trayectoria de los polos en la secuencia de LPC
Freitag, Fèlix; Monte Moreno, Enrique; Hernando Pericás, Francisco Javier (Universidad de Valladolid, 1995)
Text en actes de congrés
Accés obertA alternative way of representing time variations of the speech spectra is presented. We propose to model the trajectories of the poles of the LPC analysis spectra using exponential functions as alternative to delta ... -
Modelling of the analytic spectrum for speech recognition
Nadeu Camprubí, Climent; Lleida, E; Hernando Pericás, Francisco Javier (European Speech Communication Association (ESCA), 1989)
Text en actes de congrés
Accés obertIn this paper, a new spectral representation is introduced and applied to speech recognition. As the widely used LPC autocorrelation technique, it arises from an optimization approach that starts from a set of M+ 1 ... -
Multimodal identification and localization of users in a smart environment
Salah, Albert Ali; Morros Rubió, Josep Ramon; Luque, Jordi; Segura Perales, Carlos; Hernando Pericás, Francisco Javier; Ambekar, Onkar; Schouten, Ben; Pauwels, Eric (2008-09)
Article
Accés obertDetecting the location and identity of users is a first step in creating contextaware applications for technologically-endowed environments. We propose a system that makes use of motion detection, person tracking, face ... -
Multiple multilabeling applied to HMM-based noisy speech recognition
Hernando Pericás, Francisco Javier; Mariño Acebal, José Bernardo; Moreno Bilbao, M. Asunción; Nadeu Camprubí, Climent (1993)
Comunicació de congrés
Accés obertThe performance of existing speech recognition systems degrades rapidly in the presence of background noise when training and testing cannot be done under the same ambient conditions. The aim of this paper is to propose ... -
Multiple multilabeling to improve HMM-based speech recognition in noise
Hernando Pericás, Francisco Javier; Mariño Acebal, José Bernardo; Nadeu Camprubí, Climent (1993)
Text en actes de congrés
Accés obertThe performance of existing speech recognition systems degrades rapidly in the presence of background noise when training and testing cannot be done under the same ambient conditions. The aim of this paper is to propose ... -
Multiple multilabelling applied to hmm-based noisy speech recognition
Hernando Pericás, Francisco Javier; Mariño Acebal, José Bernardo; Moreno Bilbao, M. Asunción; Nadeu Camprubí, Climent (CHINESE INSTITUTE OF ELECTRONICS, 1993)
Text en actes de congrés
Accés obert -
New approaches for iris boundary localization
Pérez, Dídac; Fernández, Carles; Segura, Carlos; Hernando Pericás, Francisco Javier (Universidad de las Palmas de Gran Canarias, 2012)
Text en actes de congrés
Accés obertIris segmentation is the most determining factor in iris biometrics, which has traditionally assumed rigid constrained environments. In this work, a novel method that covers the localization of the pupillaty and limbic ... -
On the AR modelling of the one-sided autocorrelation sequence for noisy speech recognition
Hernando Pericás, Francisco Javier; Nadeu Camprubí, Climent (University of Alberta, 1992)
Text en actes de congrés
Accés obertSpeech recognition in noisy environments remains an unsolved problem even in the case of isolated word recognition with small vocabularies. Recently, several techniques have been proposed to alleviate this problem. Concretely, ... -
On the decorrelation of filter-bank energies in speech recognition
Nadeu Camprubí, Climent; Hernando Pericás, Francisco Javier; Gorricho Moreno, Monica (1995)
Text en actes de congrés
Accés obertCepstral coefficients are widely used in speech recognition. In this paper, we claim that they are not the best way of representing the spectral envelope, at least for some usual speech recognition systems. In fact, cepstrum ... -
On the improvement of speaker diarization by detecting overlapped speech
Hernando Pericás, Francisco Javier; Hernando Pericás, Francisco Javier (2010)
Comunicació de congrés
Accés obertSimultaneous speech in meeting environment is responsible for a certain amount of errors caused by standard speaker diarization systems. We are presenting an overlap detection system for far-field data based on spectral ... -
On the use of agglomerative and spectral clustering in speaker diarization of meetings
Hernando Pericás, Francisco Javier (2012)
Text en actes de congrés
Accés restringit per política de l'editorialIn this paper, we present a clustering algorithm for speaker diarization based on spectral clustering. State-of-the-art diariza- tion systems are based on agglomerative hierarchical clustering using Bayesian Information ... -
On the use of filter bank energies driven from the osa sequence for noisy speech recognition
Hernando Pericás, Francisco Javier (INSTITUTE OF ACOUSTICS, 2000)
Text en actes de congrés
Accés obertepresentation of speech signal has shown to be attractive for noisy speech recognition because of both its high recognition performance with respect to the conventional LP in severe conditions of additive broad-band noise ...