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ORCIDAntonio Miguel
- > Home > Persons > Antonio Miguel
Publications
- 2011
[j6]Antonio Miguel, Alfonso Ortega
, Luis Buera, Eduardo Lleida:
Bayesian Networks for Discrete Observation Distributions in Speech Recognition. IEEE Trans. Speech Audio Process. 19(6): 1476-1489 (2011)- 2010
- [j5]Luis Buera, Antonio Miguel, Oscar Saz, Alfonso Ortega, Eduardo Lleida:
Unsupervised Data-Driven Feature Vector Normalization With Acoustic Model Adaptation for Robust Speech Recognition. IEEE Trans. Speech Audio Process. 18(2): 296-309 (2010) - 2009
- [c23]Antonio Miguel, Alfonso Ortega, Luis Buera, Eduardo Lleida:
Local projections and support vector based feature selection in speech recognition. INTERSPEECH 2009: 48-51 - [c21]Luis Buera, Antonio Miguel, Alfonso Ortega, Eduardo Lleida, Richard M. Stern:
Unsupervised training scheme with non-stereo data for empirical feature vector compensation. INTERSPEECH 2009: 1247-1250 - [c20]Antonio Miguel, Alfonso Ortega, Luis Buera, Eduardo Lleida:
Graphical models for discrete hidden Markov models in speech recognition. INTERSPEECH 2009: 1411-1414 - 2008
- [j3]Antonio Miguel, Eduardo Lleida, Richard C. Rose, Luis Buera, Oscar Saz, Alfonso Ortega:
Capturing Local Variability for Speaker Normalization in Speech Recognition. IEEE Trans. Speech Audio Process. 16(3): 578-593 (2008) - [c16]Luis Buera, Antonio Miguel, Oscar Saz, Alfonso Ortega, Eduardo Lleida:
Feature vector normalization with combined standard and throat microphones for robust ASR. INTERSPEECH 2008: 1289-1292 - 2007
- [j2]Luis Buera, Eduardo Lleida, Antonio Miguel, Alfonso Ortega, Oscar Saz:
Cepstral Vector Normalization Based on Stereo Data for Robust Speech Recognition. IEEE Trans. Speech Audio Process. 15(3): 1098-1113 (2007) - [c15]Luis Buera, Antonio Miguel, Eduardo Lleida, Oscar Saz, Alfonso Ortega:
Robust speech recognition with on-line unsupervised acoustic feature compensation. ASRU 2007: 105-110 - [c14]Luis Buera, Antonio Miguel, Eduardo Lleida, Oscar Saz, Alfonso Ortega:
On the jointly unsupervised feature vector normalization and acoustic model compensation for robust speech recognition. INTERSPEECH 2007: 1046-1049 - [c13]Luis Buera, Antonio Miguel, Oscar Saz, Eduardo Lleida, Alfonso Ortega:
Evaluation of the combined use of MEMLIN and MLLR on the non-native adaptation task of hiwire project database. INTERSPEECH 2007: 2437-2440 - 2006
- [c12]Alfonso Ortega, Eduardo Lleida, Enrique Masgrau, Luis Buera, Antonio Miguel:
Stability Control in a Two-Channel Speech Reinforcement System for Vehicles. ICASSP (5) 2006: 301-304 - [c9]Luis Buera, Eduardo Lleida, Juan Arturo Nolazco-Flores, Antonio Miguel, Alfonso Ortega:
Time-dependent cross-probability model for multi-environment model based LInear normalization. INTERSPEECH 2006 - [c8]Antonio Miguel, Eduardo Lleida, Alfons Juan, Luis Buera, Alfonso Ortega, Oscar Saz:
Local transformation models for speech recognition. INTERSPEECH 2006 - [c7]Oscar Saz, Antonio Miguel, Eduardo Lleida, Alfonso Ortega, Luis Buera:
Study of time and frequency variability in pathological speech and error reduction methods for automatic speech recognition. INTERSPEECH 2006 - 2005
- [c5]Luis Buera, Eduardo Lleida, Antonio Miguel, Alfonso Ortega:
Robust speech recognition in cars using phoneme dependent multi-environment linear normalization. INTERSPEECH 2005: 381-384 - [c4]Alfonso Ortega, Eduardo Lleida, Enrique Masgrau, Luis Buera, Antonio Miguel:
Acoustic feedback cancellation in speech reinforcement systems for vehicles. INTERSPEECH 2005: 2061-2064 - [c3]Antonio Miguel, Eduardo Lleida, Richard C. Rose, Luis Buera, Alfonso Ortega:
Augmented state space acoustic decoding for modeling local variability in speech. INTERSPEECH 2005: 3009-3012 - 2004
- [c2]Luis Buera, Eduardo Lleida, Antonio Miguel, Alfonso Ortega:
Multi-environment models based linear normalization for speech recognition in car conditions. ICASSP (1) 2004: 1013-1016 - [c1]Alfonso Ortega, Federico Sukno, Eduardo Lleida, Alejandro F. Frangi, Antonio Miguel, Luis Buera, Ernesto Zacur:
AV@CAR: A Spanish Multichannel Multimodal Corpus for In-Vehicle Automatic Audio-Visual Speech Recognition. LREC 2004
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