Search Results - "Diez, Mireia"

A Novel Formulation Based on 2,3-Di(tetradecyloxy)propan-1-amine Cationic Lipid Combined with Polysorbate 80 for Efficient Gene Delivery to the Retina by Ochoa, Gustavo Puras, Sesma, Jon Zárate, Díez, Mireia Agirre, Díaz-Tahoces, Ariadna, Avilés-Trigeros, Marcelino, Grijalvo, Santiago, Eritja, Ramón, Fernández, Eduardo, Pedraz, Jose Luis

“…ABSTRACT Purpose The aim of the present study was to evaluate the potential application of a novel formulation based on a synthesized cationic lipid…”
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High-performance Query-by-Example Spoken Term Detection on the SWS 2013 evaluation by Rodriguez-Fuentes, Luis J., Varona, Amparo, Penagarikano, Mikel, Bordel, German, Diez, Mireia

“…In the last years, the task of Query-by-Example Spoken Term Detection (QbE-STD), which aims to find occurrences of a spoken query in a set of audio documents,…”
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Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: Theory, implementation and analysis on standard tasks by Landini, Federico, Profant, Ján, Diez, Mireia, Burget, Lukáš

“…The recently proposed VBx diarization method uses a Bayesian hidden Markov model to find speaker clusters in a sequence of x-vectors. In this work we perform…”
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DiaPer: End-to-End Neural Diarization With Perceiver-Based Attractors by Landini, Federico, Diez, Mireia, Stafylakis, Themos, Burget, Lukas

“…Until recently, the field of speaker diarization was dominated by cascaded systems. Due to their limitations, mainly regarding overlapped speech and cumbersome…”
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Analysis of Speaker Diarization Based on Bayesian HMM With Eigenvoice Priors by Diez, Mireia, Burget, Lukas, Landini, Federico, Cernocky, Jan

“…In our previous work, we introduced our Bayesian Hidden Markov Model with eigenvoice priors, which has been recently recognized as the state-of-the-art model…”
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Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization by Landini, Federico, Diez, Mireia, Lozano-Diez, Alicia, Burget, Lukas

“…End-to-end diarization presents an attractive alternative to standard cascaded diarization systems because a single system can handle all aspects of the task…”
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End-to-End DNN Based Speaker Recognition Inspired by I-Vector and PLDA by Rohdin, Johan, Silnova, Anna, Diez, Mireia, Plchot, Oldrch, Matejka, Pavel, Burget, Lukas

“…Recently, several end-to-end speaker verification systems based on deep neural networks (DNNs) have been proposed. These systems have been proven to be…”
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Optimizing Bayesian Hmm Based X-Vector Clustering for the Second Dihard Speech Diarization Challenge by Diez, Mireia, Burget, Lukas, Landini, Federico, Wang, Shuai, Cernocky, Honza

“…This paper presents an analysis of our diarization system winning the second DIHARD speech diarization challenge, track 1. This system is based on clustering…”
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Discriminative Training of VBx Diarization by Klement, Dominik, Diez, Mireia, Landini, Federico, Burget, Lukas, Silnova, Anna, Delcroix, Marc, Tawara, Naohiro

“…Bayesian HMM clustering of x-vector sequences (VBx) has become a widely adopted diarization baseline model in publications and challenges. It uses an HMM to…”
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Diacorrect: Error Correction Back-End for Speaker Diarization by Han, Jiangyu, Landini, Federico, Rohdin, Johan, Diez, Mireia, Burget, Lukas, Cao, Yuhang, Lu, Heng, Cernocky, Jan

“…In this work, we propose an error correction framework, named DiaCorrect, to refine the output of a diarization system in a simple yet effective way. This…”
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Analysis of the but Diarization System for Voxconverse Challenge by Landini, Federico, Glembek, Ondrej, Matejka, Pavel, Rohdin, Johan, Burget, Lukas, Diez, Mireia, Silnova, Anna

“…This paper describes the system developed by the BUT team for the fourth track of the VoxCeleb Speaker Recognition Challenge, focusing on diarization on the…”
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End-to-end DNN based text-independent speaker recognition for long and short utterances by Rohdin, Johan, Silnova, Anna, Diez, Mireia, Plchot, Oldřich, Matějka, Pavel, Burget, Lukáš, Glembek, Ondřej

“…Recently several end-to-end speaker verification systems based on deep neural networks (DNNs) have been proposed. These systems have been proven to be…”
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But System for the Second Dihard Speech Diarization Challenge by Landini, Federico, Wang, Shuai, Diez, Mireia, Burget, Lukas, Matejka, Pavel, Zmolikova, Katerina, Mosner, Ladislav, Silnova, Anna, Plchot, Oldrich, Novotny, Ondrej, Zeinali, Hossein, Rohdin, Johan

“…This paper describes the winning systems developed by the BUT team for the four tracks of the Second DIHARD Speech Diarization Challenge. For tracks 1 and 2…”
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13 years of speaker recognition research at BUT, with longitudinal analysis of NIST SRE by Matějka, Pavel, Plchot, Oldřich, Glembek, Ondřej, Burget, Lukáš, Rohdin, Johan, Zeinali, Hossein, Mošner, Ladislav, Silnova, Anna, Novotný, Ondřej, Diez, Mireia, “Honza” Černocký, Jan

“…•We present a “longitudinal study” of all important milestone techniques used in speaker recognition by evaluating on multiple NIST SREs.•We provide aa…”
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On the Projection of PLLRs for Unbounded Feature Distributions in Spoken Language Recognition by Diez, Mireia, Varona, Amparo, Penagarikano, Mikel, Rodriguez-Fuentes, Luis Javier, Bordel, German

“…The so called Phone Log-Likelihood Ratio (PLLR) features have been recently introduced as a novel and effective way of retrieving acoustic-phonetic information…”
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On the Complementarity of Phone Posterior Probabilities for Improved Speaker Recognition by Diez, Mireia, Varona, Amparo, Penagarikano, Mikel, Rodriguez-Fuentes, Luis Javier, Bordel, German

“…In this letter, we apply Phone Log-Likelihood Ratio (PLLR) features to the task of speaker recognition. PLLRs, which are computed on the phone posterior…”
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KALAKA-3: a database for the assessment of spoken language recognition technology on YouTube audios by Rodríguez-Fuentes, Luis Javier, Penagarikano, Mikel, Varona, Amparo, Diez, Mireia, Bordel, Germán

“…KALAKA-3 is a speech database specifically designed for the development and evaluation of Spoken Language Recognition (SLR) systems. The database provides TV…”
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DiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors by Landini, Federico, Diez, Mireia, Stafylakis, Themos, Burget, Lukáš

“…Until recently, the field of speaker diarization was dominated by cascaded systems. Due to their limitations, mainly regarding overlapped speech and cumbersome…”
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Joint Training of Speaker Embedding Extractor, Speech and Overlap Detection for Diarization by Pálka, Petr, Landini, Federico, Klement, Dominik, Diez, Mireia, Silnova, Anna, Delcroix, Marc, Burget, Lukáš

“…In spite of the popularity of end-to-end diarization systems nowadays, modular systems comprised of voice activity detection (VAD), speaker embedding…”
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Leveraging Self-Supervised Learning for Speaker Diarization by Han, Jiangyu, Landini, Federico, Rohdin, Johan, Silnova, Anna, Diez, Mireia, Burget, Lukas

“…End-to-end neural diarization has evolved considerably over the past few years, but data scarcity is still a major obstacle for further improvements…”
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