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Ulpu Remes
Ulpu Remes
Bestätigte E-Mail-Adresse bei helsinki.fi
Titel
Zitiert von
Zitiert von
Jahr
Speech bandwidth extension using gaussian mixture model-based estimation of the highband mel spectrum
H Pulakka, U Remes, K Palomäki, M Kurimo, P Alku
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
422011
Sparse imputation for large vocabulary noise robust ASR
JF Gemmeke, B Cranen, U Remes
Computer Speech & Language 25 (2), 462-479, 2011
382011
Bandwidth extension of telephone speech to low frequencies using sinusoidal synthesis and a Gaussian mixture model
H Pulakka, U Remes, S Yrttiaho, K Palomaki, M Kurimo, P Alku
IEEE Transactions on Audio, Speech, and Language Processing 20 (8), 2219-2231, 2012
282012
Designing multichannel source separation based on single-channel source separation
AR López, N Ono, U Remes, K Palomäki, M Kurimo
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
212015
Noise in HMM-based speech synthesis adaptation: Analysis, evaluation methods and experiments
R Karhila, U Remes, M Kurimo
IEEE Journal of Selected Topics in Signal Processing 8 (2), 285-295, 2014
212014
Mask estimation and imputation methods for missing data speech recognition in a multisource reverberant environment
S Keronen, H Kallasjoki, U Remes, GJ Brown, JF Gemmeke, KJ Palomäki
Computer Speech & Language 27 (3), 798-819, 2013
192013
Objective evaluation measures for speaker-adaptive HMM-TTS systems
U Remes, R Karhila, M Kurimo
Proc. 8th ISCA Speech Synthesis Workshop, 2013
192013
Observation uncertainty measures for sparse imputation.
JF Gemmeke, U Remes, KJ Palomäki
INTERSPEECH, 2262-2265, 2010
192010
Spectral tilt modelling with GMMs for intelligibility enhancement of narrowband telephone speech.
E Jokinen, U Remes, M Takanen, KJ Palomäki, M Kurimo, P Alku
INTERSPEECH, 2036-2040, 2014
162014
Intelligibility Enhancement of Telephone Speech Using Gaussian Process Regression for Normal-to-Lombard Spectral Tilt Conversion
E Jokinen, U Remes, P Alku
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (10 …, 2017
152017
The Use of Read versus Conversational Lombard Speech in Spectral Tilt Modeling for Intelligibility Enhancement in Near-End Noise Conditions.
E Jokinen, U Remes, P Alku
INTERSPEECH, 2771-2775, 2016
152016
Mask estimation and sparse imputation for missing data speech recognition in multisource reverberant environments
H Kallasjoki, S Keronen, GJ Brown, JF Gemmeke, U Remes, KJ Palomäki
Proc. CHiME, 58-63, 2011
132011
Spectral tilt modelling with extrapolated GMMs for intelligibility enhancement of narrowband telephone speech
E Jokinen, U Remes, M Takanen, K Palomäki, M Kurimo, P Alku
2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC …, 2014
122014
HMM-based speech synthesis adaptation using noisy data: Analysis and evaluation methods
R Karhila, U Remes, M Kurimo
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
122013
Missing feature reconstruction and acoustic model adaptation combined for large vocabulary continuous speech recognition
U Remes, KJ Palomäki, M Kurimo
2008 16th European Signal Processing Conference, 1-5, 2008
112008
Low band bandwidth extended
L Laaksonen, HJ Pulakka, U Remes, PI Alku, K Palomaki
US Patent App. 14/006,154, 2014
102014
Comparison of Gaussian process regression and Gaussian mixture models in spectral tilt modelling for intelligibility enhancement of telephone speech.
E Jokinen, U Remes, P Alku
INTERSPEECH, 85-89, 2015
82015
Bounded conditional mean imputation with observation uncertainties and acoustic model adaptation
U Remes, AR López, K Palomäki, M Kurimo
IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (7), 1198 …, 2015
82015
Uncertainty Measures for Improving Exemplar-Based Source Separation.
H Kallasjoki, U Remes, JF Gemmeke, T Virtanen, KJ Palomäki
INTERSPEECH, 469-472, 2011
82011
Comparison of non-parametric Bayesian mixture models for syllable clustering and zero-resource speech processing
S Seshadri, U Remes, O Räsänen
Interspeech, 2744-2748, 2017
72017
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