Exploració per autor "Hernando Pericás, Francisco Javier"
Ara es mostren els items 43-62 de 133
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i-Vector modeling with deep belief networks for multi-session speaker recognition
(2014)
Text en actes de congrés
Accés restringit per política de l'editorialIn this paper we propose an impostor selection method for a Deep Belief Network (DBN) based system which models i-vectors in a multi-session speaker verification task. In the proposed method, instead of choosing a ... -
I-vector transformation using k-nearest neighbors for speaker verification
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Text en actes de congrés
Accés restringit per política de l'editorialProbabilistic Linear Discriminant Analysis (PLDA) is the most efficient backend for i-vectors. However, it requires labeled background data which can be difficult to access in practice. Unlike PLDA, cosine scoring avoids ... -
Improving detection of acoustic events using audiovisual data and feature level fusion
(2009)
Text en actes de congrés
Accés obertThe detection of the acoustic events (AEs) that are naturally produced in a meeting room may help to describe the human and social activity that takes place in it. When applied to spontaneous recordings, the detection ... -
Improving i-Vector and PLDA based speaker clustering with long-term features
(International Speech Communication Association (ISCA), 2016)
Text en actes de congrés
Accés restringit per política de l'editoriali-vector modeling techniques have been successfully used for speaker clustering task recently. In this work, we propose the extraction of i-vectors from short-and long-term speech features, and the fusion of their PLDA ... -
Improving the robustness of the usual fbe-based asr front-end
(Mergablum, 2000)
Text en actes de congrés
Accés obertAll speech recognition systems require some form of signal representation that parametrically models the temporal evolution of the spectral envelope. Current parameterizations involve, either explicitly or implicitly, ... -
Informe proyecto SARAI
(2013-03-05)
Report de recerca
Accés obert -
Jitter and Shimmer measurements for speaker diarization
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(CHINESE INSTITUTE OF ELECTRONICS, 1993)
Text en actes de congrés
Accés obert
