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Ulpu Remes
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2020 – today
- 2023
- [c20]Daolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi:
Practical Equivariances via Relational Conditional Neural Processes. NeurIPS 2023 - [i3]Daolang Huang, Manuel Haussmann, Ulpu Remes
, S. T. John, Grégoire Clarté, Kevin Sebastian Luck
Practical Equivariances via Relational Conditional Neural Processes. CoRR abs/2306.10915 (2023) - 2022
- [i2]Jukka Corander, Ulpu Remes, Ida Holopainen, Timo Koski:
Nonparametric likelihood-free inference with Jensen-Shannon divergence for simulator-based models with categorical output. CoRR abs/2205.10890 (2022) - [i1]Jukka Corander, Ulpu Remes, Timo Koski:
Likelihood-free Model Choice for Simulator-based Models with the Jensen-Shannon Divergence. CoRR abs/2206.04110 (2022)
2010 – 2019
- 2017
- [j8]Emma Jokinen, Ulpu Remes
Intelligibility Enhancement of Telephone Speech Using Gaussian Process Regression for Normal-to-Lombard Spectral Tilt Conversion. IEEE ACM Trans. Audio Speech Lang. Process. 25(10): 1985-1996 (2017) - [c19]Shreyas Seshadri
Dirichlet process mixture models for clustering i-vector data. ICASSP 2017: 5470-5474 - [c18]Shreyas Seshadri
Comparison of Non-Parametric Bayesian Mixture Models for Syllable Clustering and Zero-Resource Speech Processing. INTERSPEECH 2017: 2744-2748 - 2016
- [j7]Ulpu Remes
Comparing human and automatic speech recognition in a perceptual restoration experiment. Comput. Speech Lang. 35: 14-31 (2016) - [c17]Emma Jokinen, Ulpu Remes
The Use of Read versus Conversational Lombard Speech in Spectral Tilt Modeling for Intelligibility Enhancement in Near-End Noise Conditions. INTERSPEECH 2016: 2771-2775 - 2015
- [j6]Ulpu Remes
Bounded Conditional Mean Imputation with Observation Uncertainties and Acoustic Model Adaptation. IEEE ACM Trans. Audio Speech Lang. Process. 23(7): 1198-1208 (2015) - [c16]Ana Ramírez López, Nobutaka Ono
Designing multichannel source separation based on single-channel source separation. ICASSP 2015: 469-473 - [c15]Emma Jokinen, Ulpu Remes, Paavo Alku:
Comparison of Gaussian process regression and Gaussian mixture models in spectral tilt modelling for intelligibility enhancement of telephone speech. INTERSPEECH 2015: 85-89 - 2014
- [j5]Reima Karhila, Ulpu Remes
Noise in HMM-Based Speech Synthesis Adaptation: Analysis, Evaluation Methods and Experiments. IEEE J. Sel. Top. Signal Process. 8(2): 285-295 (2014) - [c14]Emma Jokinen, Ulpu Remes, Marko Takanen, Kalle J. Palomäki, Mikko Kurimo, Paavo Alku:
Spectral tilt modelling with GMMs for intelligibility enhancement of narrowband telephone speech. INTERSPEECH 2014: 2036-2040 - [c13]Emma Jokinen, Ulpu Remes
Spectral tilt modelling with extrapolated GMMs for intelligibility enhancement of narrowband telephone speech. IWAENC 2014: 164-168 - 2013
- [j4]Sami Keronen, Heikki Kallasjoki, Ulpu Remes
Mask estimation and imputation methods for missing data speech recognition in a multisource reverberant environment. Comput. Speech Lang. 27(3): 798-819 (2013) - [c12]Reima Karhila, Ulpu Remes
HMM-based speech synthesis adaptation using noisy data: Analysis and evaluation methods. ICASSP 2013: 6930-6934 - [c11]Ulpu Remes:
Bounded conditional mean imputation with an approximate posterior. INTERSPEECH 2013: 3007-3011 - [c10]Ulpu Remes, Reima Karhila, Mikko Kurimo:
Objective evaluation measures for speaker-adaptive HMM-TTS systems. SSW 2013: 177-181 - 2012
- [j3]Hannu Pulakka, Ulpu Remes
Bandwidth Extension of Telephone Speech to Low Frequencies Using Sinusoidal Synthesis and a Gaussian Mixture Model. IEEE Trans. Speech Audio Process. 20(8): 2219-2231 (2012) - [p1]Jort Florent Gemmeke, Ulpu Remes
Missing-Data Techniques: Feature Reconstruction. Techniques for Noise Robustness in Automatic Speech Recognition 2012: 399-432 - 2011
- [j2]Jort F. Gemmeke, Bert Cranen, Ulpu Remes
Sparse imputation for large vocabulary noise robust ASR. Comput. Speech Lang. 25(2): 462-479 (2011) - [j1]Ulpu Remes
Missing-Feature Reconstruction With a Bounded Nonlinear State-Space Model. IEEE Signal Process. Lett. 18(10): 563-566 (2011) - [c9]Hannu Pulakka, Ulpu Remes
Speech bandwidth extension using Gaussian mixture model-based estimation of the highband mel spectrum. ICASSP 2011: 5100-5103 - [c8]Heikki Kallasjoki, Ulpu Remes, Jort F. Gemmeke, Tuomas Virtanen, Kalle J. Palomäki:
Uncertainty Measures for Improving Exemplar-Based Source Separation. INTERSPEECH 2011: 469-472 - [c7]Hannu Pulakka, Ulpu Remes, Santeri Yrttiaho, Kalle J. Palomäki, Mikko Kurimo, Paavo Alku:
Low-Frequency Bandwidth Extension of Telephone Speech Using Sinusoidal Synthesis and Gaussian Mixture Model. INTERSPEECH 2011: 1181-1184 - [c6]Ulpu Remes, Yoshihiko Nankaku, Keiichi Tokuda:
GMM-Based Missing-Feature Reconstruction on Multi-Frame Windows. INTERSPEECH 2011: 1665-1668 - 2010
- [c5]Sami Keronen, Ulpu Remes, Kalle J. Palomäki, Tuomas Virtanen, Mikko Kurimo:
Comparison of noise robust methods in large vocabulary speech recognition. EUSIPCO 2010: 1973-1977 - [c4]Jort F. Gemmeke, Ulpu Remes, Kalle J. Palomäki:
Observation uncertainty measures for sparse imputation. INTERSPEECH 2010: 2262-2265
2000 – 2009
- 2009
- [c3]Ulpu Remes, Kalle J. Palomäki, Mikko Kurimo:
Robust automatic speech recognition using acoustic model adaptation prior to missing feature reconstruction. EUSIPCO 2009: 535-539 - 2008
- [c2]Ulpu Remes, Kalle J. Palomäki, Mikko Kurimo:
Missing feature reconstruction and acoustic model adaptation combined for large vocabulary continuous speech recognition. EUSIPCO 2008: 1-5 - 2007
- [c1]Ulpu Remes
Segregation of Speakers for Speaker Adaptation in TV News Audio. ICASSP (4) 2007: 481-484
Coauthor Index
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