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Mireia Díez
Mireia Díez Sánchez
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2020 – today
- 2024
- [j13]Federico Landini
, Mireia Díez
DiaPer: End-to-End Neural Diarization With Perceiver-Based Attractors. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3450-3465 (2024) - [c45]Jiangyu Han, Federico Landini, Johan Rohdin, Mireia Díez, Lukás Burget, Yuhang Cao, Heng Lu, Jan Cernocký:
Diacorrect: Error Correction Back-End for Speaker Diarization. ICASSP 2024: 11181-11185 - [c44]Dominik Klement, Mireia Díez, Federico Landini, Lukás Burget, Anna Silnova, Marc Delcroix, Naohiro Tawara:
Discriminative Training of VBx Diarization. ICASSP 2024: 11871-11875 - [c43]Lin Zhang, Themos Stafylakis, Federico Landini, Mireia Díez, Anna Silnova, Lukás Burget:
Do End-to-End Neural Diarization Attractors Need to Encode Speaker Characteristic Information? Odyssey 2024: 123-130 - [i13]Lin Zhang, Themos Stafylakis, Federico Landini, Mireia Díez, Anna Silnova, Lukás Burget:
Do End-to-End Neural Diarization Attractors Need to Encode Speaker Characteristic Information? CoRR abs/2402.19325 (2024) - [i12]Lin Zhang, Xin Wang, Erica Cooper, Mireia Díez, Federico Landini, Nicholas W. D. Evans, Junichi Yamagishi:
Spoof Diarization: "What Spoofed When" in Partially Spoofed Audio. CoRR abs/2406.07816 (2024) - [i11]Jiangyu Han, Federico Landini, Johan Rohdin, Anna Silnova, Mireia Díez, Lukás Burget:
Leveraging Self-Supervised Learning for Speaker Diarization. CoRR abs/2409.09408 (2024) - 2023
- [c42]Federico Landini, Mireia Díez, Alicia Lozano-Diez, Lukás Burget:
Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization. ICASSP 2023: 1-5 - [c41]Marc Delcroix, Naohiro Tawara, Mireia Díez, Federico Landini, Anna Silnova, Atsunori Ogawa, Tomohiro Nakatani, Lukás Burget, Shoko Araki:
Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization. INTERSPEECH 2023: 3477-3481 - [i10]Marc Delcroix, Naohiro Tawara, Mireia Díez, Federico Landini, Anna Silnova, Atsunori Ogawa, Tomohiro Nakatani, Lukás Burget, Shoko Araki:
Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization. CoRR abs/2305.13580 (2023) - [i9]Jiangyu Han, Federico Landini, Johan Rohdin, Mireia Díez, Lukás Burget, Yuhang Cao, Heng Lu, Jan Cernocký:
DiaCorrect: Error Correction Back-end For Speaker Diarization. CoRR abs/2309.08377 (2023) - [i8]Dominik Klement, Mireia Díez, Federico Landini, Lukás Burget, Anna Silnova, Marc Delcroix, Naohiro Tawara:
Discriminative Training of VBx Diarization. CoRR abs/2310.02732 (2023) - [i7]Federico Landini, Mireia Díez, Themos Stafylakis, Lukás Burget:
DiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors. CoRR abs/2312.04324 (2023) - 2022
- [j12]Federico Landini
Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: Theory, implementation and analysis on standard tasks. Comput. Speech Lang. 71: 101254 (2022) - [c40]Martin Kocour, Jahnavi Umesh, Martin Karafiát, Jan Svec, Fernando López
BCN2BRNO: ASR System Fusion for Albayzin 2022 Speech to Text Challenge. IberSPEECH 2022: 276-280 - [c39]Murali Karthick Baskar, Tim Herzig, Diana Nguyen, Mireia Díez, Tim Polzehl, Lukás Burget, Jan Cernocký:
Speaker adaptation for Wav2vec2 based dysarthric ASR. INTERSPEECH 2022: 3403-3407 - [c38]Federico Landini
From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization. INTERSPEECH 2022: 5095-5099 - [i6]Murali Karthick Baskar, Tim Herzig, Diana Nguyen, Mireia Díez, Tim Polzehl, Lukás Burget, Jan Honza Cernocký:
Speaker adaptation for Wav2vec2 based dysarthric ASR. CoRR abs/2204.00770 (2022) - [i5]Federico Landini, Alicia Lozano-Diez, Mireia Díez, Lukás Burget:
From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization. CoRR abs/2204.00890 (2022) - [i4]Federico Landini, Mireia Díez, Alicia Lozano-Diez, Lukás Burget:
Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization. CoRR abs/2211.06750 (2022) - 2021
- [c37]Federico Landini
Analysis of the but Diarization System for Voxconverse Challenge. ICASSP 2021: 5819-5823 - 2020
- [j11]Johan Rohdin
End-to-end DNN based text-independent speaker recognition for long and short utterances. Comput. Speech Lang. 59: 22-35 (2020) - [j10]Pavel Matejka, Oldrich Plchot, Ondrej Glembek, Lukás Burget
13 years of speaker recognition research at BUT, with longitudinal analysis of NIST SRE. Comput. Speech Lang. 63: 101035 (2020) - [j9]Mireia Díez
Analysis of Speaker Diarization Based on Bayesian HMM With Eigenvoice Priors. IEEE ACM Trans. Audio Speech Lang. Process. 28: 355-368 (2020) - [c36]Mireia Díez, Lukás Burget
Optimizing Bayesian Hmm Based X-Vector Clustering for the Second Dihard Speech Diarization Challenge. ICASSP 2020: 6519-6523 - [c35]Federico Landini
But System for the Second Dihard Speech Diarization Challenge. ICASSP 2020: 6529-6533 - [c34]Jahangir Alam, Gilles Boulianne, Lukás Burget, Mohamed Dahmane, Mireia Díez Sánchez, Alicia Lozano-Diez, Ondrej Glembek, Pierre-Luc St-Charles, Marc Lalonde, Pavel Matejka, Petr Mizera, João Monteiro, Ladislav Mosner, Cedric Noiseux, Ondrej Novotný, Oldrich Plchot, Johan Rohdin, Anna Silnova, Josef Slavícek, Themos Stafylakis, Shuai Wang, Hossein Zeinali:
Analysis of ABC Submission to NIST SRE 2019 CMN and VAST Challenge. Odyssey 2020: 289-295 - [i3]Federico Landini, Ondrej Glembek, Pavel Matejka, Johan Rohdin, Lukás Burget, Mireia Díez, Anna Silnova:
Analysis of the BUT Diarization System for VoxConverse Challenge. CoRR abs/2010.11718 (2020) - [i2]Federico Landini, Ján Profant, Mireia Díez, Lukás Burget:
Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks. CoRR abs/2012.14952 (2020)
2010 – 2019
- 2019
- [c33]Mireia Díez, Lukás Burget
Bayesian HMM Based x-Vector Clustering for Speaker Diarization. INTERSPEECH 2019: 346-350 - 2018
- [c32]Johan Rohdin
End-to-End DNN Based Speaker Recognition Inspired by I-Vector and PLDA. ICASSP 2018: 4874-4878 - [c31]Mireia Díez
BUT System for DIHARD Speech Diarization Challenge 2018. INTERSPEECH 2018: 2798-2802 - [c30]Oldrich Plchot, Pavel Matejka, Ondrej Novotný, Sandro Cumani, Alicia Lozano-Diez, Josef Slavícek, Mireia Díez, Frantisek Grézl, Ondrej Glembek, Mounika Kamsali, Anna Silnova, Lukás Burget, Lucas Ondel, Santosh Kesiraju, Johan Rohdin:
Analysis of BUT-PT Submission for NIST LRE 2017. Odyssey 2018: 47-53 - [c29]Mireia Díez
Speaker Diarization based on Bayesian HMM with Eigenvoice Priors. Odyssey 2018: 147-154 - 2017
- [c28]Karel Veselý, Murali Karthick Baskar, Mireia Díez
MGB-3 but system: Low-resource ASR on Egyptian YouTube data. ASRU 2017: 368-373 - [c27]Oldrich Plchot, Pavel Matejka, Anna Silnova, Ondrej Novotný, Mireia Díez Sánchez
Analysis and Description of ABC Submission to NIST SRE 2016. INTERSPEECH 2017: 1348-1352 - [c26]Pavel Matejka, Ondrej Novotný, Oldrich Plchot, Lukás Burget
Analysis of Score Normalization in Multilingual Speaker Recognition. INTERSPEECH 2017: 1567-1571 - [i1]Johan Rohdin, Anna Silnova, Mireia Díez, Oldrich Plchot, Pavel Matejka, Lukás Burget:
End-to-end DNN Based Speaker Recognition Inspired by i-vector and PLDA. CoRR abs/1710.02369 (2017) - 2016
- [j8]Luis Javier Rodríguez-Fuentes
KALAKA-3: a database for the assessment of spoken language recognition technology on YouTube audios. Lang. Resour. Evaluation 50(2): 221-243 (2016) - 2014
- [j7]Mireia Díez
On the Complementarity of Phone Posterior Probabilities for Improved Speaker Recognition. IEEE Signal Process. Lett. 21(6): 649-652 (2014) - [j6]Mireia Díez
On the Projection of PLLRs for Unbounded Feature Distributions in Spoken Language Recognition. IEEE Signal Process. Lett. 21(9): 1073-1077 (2014) - [c25]Luis Javier Rodríguez-Fuentes
High-performance Query-by-Example Spoken Term Detection on the SWS 2013 evaluation. ICASSP 2014: 7819-7823 - [c24]Mireia Díez
Optimizing PLLR Features for Spoken Language Recognition. ICPR 2014: 779-784 - [c23]Mireia Díez, Amparo Varona, Mikel Peñagarikano, Luis Javier Rodríguez-Fuentes, Germán Bordel:
New insight into the use of phone log-likelihood ratios as features for language recognition. INTERSPEECH 2014: 1841-1845 - [c22]Mireia Díez, Mikel Peñagarikano, Germán Bordel, Amparo Varona, Luis Javier Rodríguez-Fuentes:
On the complementarity of short-time fourier analysis windows of different lengths for improved language recognition. INTERSPEECH 2014: 3032-3036 - [c21]Oldrich Plchot, Mireia Díez, Mehdi Soufifar, Lukás Burget:
PLLR features in language recognition system for RATS. INTERSPEECH 2014: 3047-3051 - [c20]Luis Javier Rodríguez-Fuentes, Mikel Peñagarikano, Amparo Varona, Mireia Díez, Germán Bordel:
KALAKA-3: a database for the recognition of spoken European languages on YouTube audios. LREC 2014: 443-449 - [c19]Luis Javier Rodríguez-Fuentes, Amparo Varona, Mikel Peñagarikano, Germán Bordel, Mireia Díez:
GTTS-EHU Systems for QUESST at MediaEval 2014. MediaEval 2014 - 2013
- [j5]Mireia Díez, Amparo Varona, Mikel Peñagarikano, Luis Javier Rodríguez-Fuentes, Germán Bordel:
Language Recognition on Albayzin 2010 LRE using PLLR features. Proces. del Leng. Natural 51: 153-160 (2013) - [c18]Elie Khoury, Bostjan Vesnicer, Javier Franco-Pedroso, Ricardo P. V. Violato, Z. Boulkcnafet, L. M. Mazaira Fernandez, Mireia Díez
The 2013 speaker recognition evaluation in mobile environment. ICB 2013: 1-8 - [c17]Mireia Díez, Amparo Varona, Mikel Peñagarikano, Luis Javier Rodríguez-Fuentes, Germán Bordel:
Dimensionality reduction of phone log-likelihood ratio features for spoken language recognition. INTERSPEECH 2013: 64-68 - [c16]Luis Javier Rodríguez-Fuentes, Niko Brümmer, Mikel Peñagarikano, Amparo Varona, Germán Bordel, Mireia Díez:
The albayzin 2012 language recognition evaluation. INTERSPEECH 2013: 1497-1501 - [c15]Mireia Díez, Amparo Varona, Mikel Peñagarikano, Luis Javier Rodríguez-Fuentes, Germán Bordel:
Using phone log-likelihood ratios as features for speaker recognition. INTERSPEECH 2013: 2504-2508 - [c14]Jesús Antonio Villalba López, Mireia Díez, Amparo Varona, Eduardo Lleida:
Handling recordings acquired simultaneously over multiple channels with PLDA. INTERSPEECH 2013: 2509-2513 - [c13]Luis Javier Rodríguez-Fuentes, Amparo Varona, Mikel Peñagarikano, Germán Bordel, Mireia Díez:
GTTS Systems for the SWS Task at MediaEval 2013. MediaEval 2013 - 2012
- [c12]Luis Javier Rodríguez-Fuentes, Mikel Peñagarikano, Amparo Varona, Mireia Díez, Germán Bordel, Alberto Abad, David Martínez González, Jesús Antonio Villalba López, Alfonso Ortega, Eduardo Lleida:
The BLZ Submission to the NIST 2011 LRE: Data Collection, System Development and Performance. INTERSPEECH 2012: 38-41 - [c11]Mikel Peñagarikano, Amparo Varona, Luis Javier Rodríguez-Fuentes, Mireia Díez, Germán Bordel:
The EHU Systems for the NIST 2011 Language Recognition Evaluation. INTERSPEECH 2012: 2045-2048 - [c10]Mikel Peñagarikano, Amparo Varona, Mireia Díez, Luis Javier Rodríguez-Fuentes, Germán Bordel:
Study of Different Backends in a State-Of-the-Art Language Recognition System. INTERSPEECH 2012: 2049-2052 - [c9]Amparo Varona, Mikel Peñagarikano, Luis Javier Rodríguez-Fuentes, Germán Bordel, Mireia Díez:
Using Time-Synchronous Phone Co-occurrences in a SVM-Phonotactic Dialect Recognition System. INTERSPEECH 2012: 2069-2072 - [c8]Luis Javier Rodríguez-Fuentes, Mikel Peñagarikano, Amparo Varona, Mireia Díez, Germán Bordel:
KALAKA-2: a TV Broadcast Speech Database for the Recognition of Iberian Languages in Clean and Noisy Environments. LREC 2012: 99-105 - [c7]Amparo Varona, Mikel Peñagarikano, Luis Javier Rodríguez-Fuentes, Germán Bordel, Mireia Díez:
GTTS System for the Spoken Web Search Task at MediaEval 2012. MediaEval 2012 - [c6]Luis Javier Rodríguez-Fuentes, Amparo Varona, Mireia Díez, Mikel Peñagarikano, Germán Bordel:
Evaluation of spoken language recognition technology using broadcast speech: performance and challenges. Odyssey 2012: 194-201 - [c5]Mireia Díez
On the use of phone log-likelihood ratios as features in spoken language recognition. SLT 2012: 274-279 - 2011
- [j4]Amparo Varona, Silvia Nieto, Luis Javier Rodríguez-Fuentes, Mikel Peñagarikano, Germán Bordel, Mireia Díez:
A Spoken Document Retrieval System for TV Broadcast News in Spanish and Basque. Proces. del Leng. Natural 47: 75-83 (2011) - [j3]Luis Javier Rodríguez-Fuentes, Amparo Varona, Mikel Peñagarikano, Mireia Díez, Germán Bordel:
Spoken language recognition in conversational telephone speech and TV broadcast news (GLOSA). Proces. del Leng. Natural 47: 349-350 (2011) - [c4]Luis Javier Rodríguez
Multi-site heterogeneous system fusions for the Albayzin 2010 Language Recognition Evaluation. ASRU 2011: 377-382 - [c3]Mireia Díez
On the Use of Dot Scoring for Speaker Diarization. IbPRIA 2011: 612-619 - [c2]Luis Javier Rodríguez, Mikel Peñagarikano, Amparo Varona, Mireia Díez, Germán Bordel:
The Albayzin 2010 Language Recognition Evaluation. INTERSPEECH 2011: 1529-1532 - 2010
- [j2]Amparo Varona, Mikel Peñagarikano, Luis Javier Rodríguez-Fuentes, Mireia Díez, Germán Bordel:
Verification of the four Spanish official languages on TV show recordings. Proces. del Leng. Natural 45: 95-103 (2010) - [j1]Amparo Varona, Luis Javier Rodríguez-Fuentes, Mikel Peñagarikano, Silvia Nieto, Mireia Díez, Germán Bordel:
Search and access to information contained in the speech of multimedia resources. Proces. del Leng. Natural 45: 317-318 (2010) - [c1]Luis Javier Rodríguez-Fuentes, Mikel Peñagarikano, Germán Bordel, Amparo Varona, Mireia Díez:
KALAKA: A TV Broadcast Speech Database for the Evaluation of Language Recognition Systems. LREC 2010
Coauthor Index
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