Artículos con órdenes de acceso público - Ulpu RemesMás información
No disponibles en ningún lugar: 3
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
Órdenes: Academy of Finland
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
Órdenes: Academy of Finland
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
Órdenes: Academy of Finland
Disponibles en algún lugar: 11
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
Órdenes: Research Foundation (Flanders), UK Engineering and Physical Sciences …
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
Órdenes: Academy of Finland
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
Órdenes: Research Foundation (Flanders)
On the Jensen-Shannon divergence and the variation distance for categorical probability distributions
J Corander, U Remes, T Koski
Kybernetika 57 (6), 879-907, 2021
Órdenes: European Commission
Uncertainty Measures for Improving Exemplar-Based Source Separation.
H Kallasjoki, U Remes, JF Gemmeke, T Virtanen, KJ Palomäki
INTERSPEECH, 469-472, 2011
Órdenes: Research Foundation (Flanders)
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
Órdenes: Academy of Finland
PYLFIRE: Python implementation of likelihood-free inference by ratio estimation
J Kokko, U Remes, O Thomas, H Pesonen, J Corander
Wellcome open research 4, 2019
Órdenes: Academy of Finland, Wellcome Trust, European Commission
Comparing human and automatic speech recognition in a perceptual restoration experiment
U Remes, AR López, L Juvela, K Palomäki, GJ Brown, P Alku, M Kurimo
Computer Speech & Language 35, 14-31, 2016
Órdenes: Academy of Finland, Finnish Funding Agency for Innovation
Practical Equivariances via Relational Conditional Neural Processes
D Huang, M Haussmann, U Remes, ST John, G Clarté, K Luck, S Kaski, ...
Advances in Neural Information Processing Systems 36, 29201-29238, 2023
Órdenes: Academy of Finland, UK Research & Innovation
Dirichlet process mixture models for clustering i-vector data
S Seshadri, U Remes, O Räsänen
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
Órdenes: Academy of Finland
Statistical methods for incomplete speech data
U Remes
Aalto University, 2016
Órdenes: Academy of Finland, Finnish Funding Agency for Innovation
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