Luciana Ferrer
Luciana Ferrer
Instituto en Ciencias de la Computación (Computer Science Institute), UBA-CONICET
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases
R Caspi, R Billington, L Ferrer, H Foerster, CA Fulcher, IM Keseler, ...
Nucleic acids research, gkv1164, 2015
A novel scheme for speaker recognition using a phonetically-aware deep neural network
Y Lei, N Scheffer, L Ferrer, M McLaren
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International …, 2014
Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings
L Pepino, P Riera, L Ferrer
Proc. Interspeech 2021, 2021
Modeling prosodic feature sequences for speaker recognition
E Shriberg, L Ferrer, S Kajarekar, A Venkataraman, A Stolcke
Speech Communication 46 (3-4), 455-472, 2005
The Speakers in the Wild (SITW) speaker recognition database.
M McLaren, L Ferrer, D Castan, A Lawson
Interspeech, 818-822, 2016
MLLR transforms as features in speaker recognition
A Stolcke, L Ferrer, S Kajarekar, E Shriberg, A Venkataraman
in Proceedings of the 9th European Conference on Speech Communication and …, 2005
Common limitations of image processing metrics: A picture story
A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ...
arXiv preprint arXiv:2104.05642, 2021
Advances in deep neural network approaches to speaker recognition
M McLaren, Y Lei, L Ferrer
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
Is the speaker done yet? Faster and more accurate end-of-utterance detection using prosody
L Ferrer, E Shriberg, A Stolcke
Seventh International Conference on Spoken Language Processing, 2002
Towards noise-robust speaker recognition using probabilistic linear discriminant analysis
Y Lei, L Burget, L Ferrer, M Graciarena, N Scheffer
2012 IEEE international conference on acoustics, speech and signal …, 2012
Speaker recognition with session variability normalization based on MLLR adaptation transforms
A Stolcke, SS Kajarekar, L Ferrer, E Shrinberg
IEEE Transactions on Audio, Speech, and Language Processing 15 (7), 1987-1998, 2007
Study of senone-based deep neural network approaches for spoken language recognition
L Ferrer, Y Lei, M McLaren, N Scheffer
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (1), 105-116, 2015
Nonparametric feature normalization for SVM-based speaker verification
A Stolcke, S Kajarekar, L Ferrer
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
Promoting robustness for speaker modeling in the community: the PRISM evaluation set
L Ferrer, H Bratt, L Burget, H Cernocky, O Glembek, M Graciarena, ...
Proceedings of NIST 2011 workshop, 1-7, 2011
Application of convolutional neural networks to language identification in noisy conditions
Y Lei, L Ferrer, A Lawson, M McLaren, N Scheffer
Odyssey 2014, 2014
Application of Convolutional Neural Networks to Speaker Recognition in Noisy Conditions
M McLaren, Y Lei, N Scheffer, L Ferrer
Fifteenth Annual Conference of the International Speech Communication …, 2014
A prosody-based approach to end-of-utterance detection that does not require speech recognition
L Ferrer, E Shriberg, A Stolcke
Acoustics, Speech, and Signal Processing, 2003. Proceedings.(ICASSP'03 …, 2003
Metrics reloaded: recommendations for image analysis validation
L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ...
Nature methods, 1-18, 2024
Classification of lexical stress using spectral and prosodic features for computer-assisted language learning systems
L Ferrer, H Bratt, C Richey, H Franco, V Abrash, K Precoda
Speech Communication 69, 31-45, 2015
How to train your speaker embeddings extractor
M McLaren, D Castan, MK Nandwana, L Ferrer, E Yılmaz
Odyssey: The Speaker and Language Recognition Workshop, Les Sables d’Olonne, 2018
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20