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ORCIDSofoklis Kakouros
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2020 – today
- 2023
[c19]Sofoklis Kakouros
, Themos Stafylakis, Ladislav Mosner, Lukás Burget:
Speech-Based Emotion Recognition with Self-Supervised Models Using Attentive Channel-Wise Correlations and Label Smoothing. ICASSP 2023: 1-5- [c18]Sofoklis Kakouros, Katri Hiovain-Asikainen:
North Sámi Dialect Identification with Self-supervised Speech Models. INTERSPEECH 2023: 5306-5310 - [c17]Sofoklis Kakouros, Juraj Simko, Martti Vainio, Antti Suni:
Investigating the Utility of Surprisal from Large Language Models for Speech Synthesis Prosody. SSW 2023: 127-133 - [i7]Sofoklis Kakouros, Johannah O'Mahony:
What does BERT learn about prosody? CoRR abs/2304.12706 (2023) - [i6]Sofoklis Kakouros, Katri Hiovain-Asikainen:
North Sámi Dialect Identification with Self-supervised Speech Models. CoRR abs/2305.11864 (2023) - [i5]Sofoklis Kakouros, Juraj Simko, Martti Vainio, Antti Suni:
Investigating the Utility of Surprisal from Large Language Models for Speech Synthesis Prosody. CoRR abs/2306.09814 (2023) - 2022
- [c16]Themos Stafylakis, Ladislav Mosner, Sofoklis Kakouros, Oldrich Plchot, Lukás Burget, Jan Cernocký:
Extracting Speaker and Emotion Information from Self-Supervised Speech Models via Channel-Wise Correlations. SLT 2022: 1136-1143 - [i4]Themos Stafylakis, Ladislav Mosner, Sofoklis Kakouros, Oldrich Plchot, Lukás Burget, Jan Cernocký:
Extracting speaker and emotion information from self-supervised speech models via channel-wise correlations. CoRR abs/2210.09513 (2022) - [i3]Sofoklis Kakouros, Themos Stafylakis, Ladislav Mosner, Lukás Burget:
Speech-based emotion recognition with self-supervised models using attentive channel-wise correlations and label smoothing. CoRR abs/2211.01756 (2022) - 2020
- [i2]Antti Suni, Sofoklis Kakouros, Martti Vainio, Juraj Simko:
Prosodic Prominence and Boundaries in Sequence-to-Sequence Speech Synthesis. CoRR abs/2006.15967 (2020)
2010 – 2019
- 2019
- [c15]Sofoklis Kakouros, Antti Suni, Juraj Simko, Martti Vainio:
Prosodic Representations of Prominence Classification Neural Networks and Autoencoders Using Bottleneck Features. INTERSPEECH 2019: 1946-1950 - [c14]Aarne Talman, Antti Suni, Hande Çelikkanat, Sofoklis Kakouros, Jörg Tiedemann, Martti Vainio:
Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations. NODALIDA 2019: 281-290 - [i1]Aarne Talman, Antti Suni, Hande Çelikkanat, Sofoklis Kakouros, Jörg Tiedemann, Martti Vainio:
Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations. CoRR abs/1908.02262 (2019) - 2018
- [j4]Sofoklis Kakouros, Okko Räsänen, Paavo Alku:
Comparison of spectral tilt measures for sentence prominence in speech - Effects of dimensionality and adverse noise conditions. Speech Commun. 103: 11-26 (2018) - 2017
- [c13]Okko Räsänen, Sofoklis Kakouros, Melanie Soderstrom:
Connecting stimulus-driven attention to the properties of infant-directed speech - Is exaggerated intonation also more surprising? CogSci 2017 - [c12]Sofoklis Kakouros, Okko Räsänen, Paavo Alku:
Evaluation of Spectral Tilt Measures for Sentence Prominence Under Different Noise Conditions. INTERSPEECH 2017: 3211-3215 - 2016
- [j3]Sofoklis Kakouros, Okko Räsänen:
Perception of Sentence Stress in Speech Correlates With the Temporal Unpredictability of Prosodic Features. Cogn. Sci. 40(7): 1739-1774 (2016) - [j2]Sofoklis Kakouros, Okko Räsänen:
3PRO - An unsupervised method for the automatic detection of sentence prominence in speech. Speech Commun. 82: 67-84 (2016) - [c11]Sofoklis Kakouros, Okko Räsänen:
Statistical Learning of Prosodic Patterns and Reversal of Perceptual Cues for Sentence Prominence. CogSci 2016 - [c10]Sofoklis Kakouros, Okko Räsänen:
A Cognitive Approach to Modeling Sentence Level Prominence Based on Stimulus Unpredictability. CogSci 2016 - [c9]Odette Scharenborg, Juul Coumans, Sofoklis Kakouros, Roeland van Hout:
Does the Importance of Word-Initial and Word-Final Information Differ in Native versus Non-Native Spoken-Word Recognition? INTERSPEECH 2016: 858-862 - [c8]Odette Scharenborg, Elea Kolkman, Sofoklis Kakouros, Brechtje Post:
The Effect of Sentence Accent on Non-Native Speech Perception in Noise. INTERSPEECH 2016: 863-867 - [c7]Sofoklis Kakouros, Joris Pelemans, Lyan Verwimp, Patrick Wambacq, Okko Räsänen:
Analyzing the Contribution of Top-Down Lexical and Bottom-Up Acoustic Cues in the Detection of Sentence Prominence. INTERSPEECH 2016: 1074-1078 - 2015
- [c6]Sofoklis Kakouros, Okko Johannes Räsänen:
Analyzing the Predictability of Lexeme-specific Prosodic Features as a Cue to Sentence Prominence. CogSci 2015 - [c5]Sofoklis Kakouros, Okko Räsänen:
Automatic detection of sentence prominence in speech using predictability of word-level acoustic features. INTERSPEECH 2015: 568-572 - 2014
- [j1]Okko Johannes Räsänen, Sofoklis Kakouros:
Modeling Dependencies in Multiple Parallel Data Streams with Hyperdimensional Computing. IEEE Signal Process. Lett. 21(7): 899-903 (2014) - [c4]Sofoklis Kakouros, Okko Johannes Räsänen:
Statistical Unpredictability of F0 Trajectories as a Cue to Sentence Stress. CogSci 2014 - [c3]Sofoklis Kakouros, Okko Räsänen:
Perception of sentence stress in English infant directed speech. INTERSPEECH 2014: 1821-1825 - 2013
- [c2]Sofoklis Kakouros, Okko Johannes Räsänen, Unto K. Laine:
Attention based temporal filtering of sensory signals for data redundancy reduction. ICASSP 2013: 3188-3192
2000 – 2009
- 2008
- [c1]Sofoklis Kakouros, Stephane Villette, Ahmet M. Kondoz:
Quantisation for Multiple Description Coding for voice over IP. ICASSP 2008: 4793-4796
Coauthor Index
aka: Okko Räsänen
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