Okko Johannes Räsänen
Orcid: 0000-0002-0537-0946
According to our database1,
Okko Johannes Räsänen
authored at least 89 papers
between 2008 and 2023.
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Bibliography
2023
Introducing Meta-analysis in the Evaluation of Computational Models of Infant Language Development.
Cogn. Sci., July, 2023
Comparison of End-to-End Neural Network Architectures and Data Augmentation Methods for Automatic Infant Motility Assessment Using Wearable Sensors.
Sensors, April, 2023
Development of a speech emotion recognizer for large-scale child-centered audio recordings from a hospital environment.
Speech Commun., March, 2023
Automatic Assessment of Parkinson's Disease Using Speech Representations of Phonation and Articulation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023
BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models.
CoRR, 2023
Syllable Discovery and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech Mode.
CoRR, 2023
Analysing the Impact of Audio Quality on the Use of Naturalistic Long-Form Recordings for Infant-Directed Speech Research.
CoRR, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Simultaneous or Sequential Training? How Speech Representations Cooperate in a Multi-Task Self-Supervised Learning System.
Proceedings of the 31st European Signal Processing Conference, 2023
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition.
Proceedings of the Interspeech 2022, 2022
Unsupervised Audio-Caption Aligning Learns Correspondences Between Individual Sound Events and Textual Phrases.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Language-Independent Approach for Automatic Computation of Vowel Articulation Features in Dysarthric Speech Assessment.
IEEE ACM Trans. Audio Speech Lang. Process., 2021
Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channel.
CoRR, 2021
Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? - A computational investigation.
CoRR, 2021
ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition.
CoRR, 2021
Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Zero-Shot Audio Classification with Factored Linear and Nonlinear Acoustic-Semantic Projections.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Analysis of Predictive Coding Models for Phonemic Representation Learning in Small Datasets.
CoRR, 2020
Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics.
Proceedings of the Interspeech 2020, 2020
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
2019
IEEE Signal Process. Lett., 2019
Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech.
Speech Commun., 2019
CoRR, 2019
Vocal Effort Based Speaking Style Conversion Using Vocoder Features and Parallel Learning.
IEEE Access, 2019
Augmented CycleGANs for Continuous Scale Normal-to-Lombard Speaking Style Conversion.
Proceedings of the Interspeech 2019, 2019
A Computational Model of Early Language Acquisition from Audiovisual Experiences of Young Infants.
Proceedings of the Interspeech 2019, 2019
Cycle-consistent Adversarial Networks for Non-parallel Vocal Effort Based Speaking Style Conversion.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Comparison of spectral tilt measures for sentence prominence in speech - Effects of dimensionality and adverse noise conditions.
Speech Commun., 2018
Comparison of Syllabification Algorithms and Training Strategies for Robust Word Count Estimation across Different Languages and Recording Conditions.
Proceedings of the Interspeech 2018, 2018
Time-regularized Linear Prediction for Noise-robust Extraction of the Spectral Envelope of Speech.
Proceedings of the Interspeech 2018, 2018
2017
Comparison of Non-Parametric Bayesian Mixture Models for Syllable Clustering and Zero-Resource Speech Processing.
Proceedings of the Interspeech 2017, 2017
Speaking Style Conversion from Normal to Lombard Speech Using a Glottal Vocoder and Bayesian GMMs.
Proceedings of the Interspeech 2017, 2017
Evaluation of Spectral Tilt Measures for Sentence Prominence Under Different Noise Conditions.
Proceedings of the Interspeech 2017, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Connecting stimulus-driven attention to the properties of infant-directed speech - Is exaggerated intonation also more surprising?
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
Sequence Prediction With Sparse Distributed Hyperdimensional Coding Applied to the Analysis of Mobile Phone Use Patterns.
IEEE Trans. Neural Networks Learn. Syst., 2016
3PRO - An unsupervised method for the automatic detection of sentence prominence in speech.
Speech Commun., 2016
Perception of Sentence Stress in Speech Correlates With the Temporal Unpredictability of Prosodic Features.
Cogn. Sci., 2016
Analyzing the Contribution of Top-Down Lexical and Bottom-Up Acoustic Cues in the Detection of Sentence Prominence.
Proceedings of the Interspeech 2016, 2016
Analyzing distributional learning of phonemic categories in unsupervised deep neural networks.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016
A Cognitive Approach to Modeling Sentence Level Prominence Based on Stimulus Unpredictability.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016
Statistical Learning of Prosodic Patterns and Reversal of Perceptual Cues for Sentence Prominence.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016
2015
Feature selection methods and their combinations in high-dimensional classification of speaker likability, intelligibility and personality traits.
Comput. Speech Lang., 2015
Proceedings of the INTERSPEECH 2015, 2015
Unsupervised word discovery from speech using automatic segmentation into syllable-like units.
Proceedings of the INTERSPEECH 2015, 2015
Automatic detection of sentence prominence in speech using predictability of word-level acoustic features.
Proceedings of the INTERSPEECH 2015, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Computational evidence for effects of memory decay, familiarity preference and mutual exclusivity in cross-situational learning.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015
Generating Hyperdimensional Distributed Representations from Continuous-Valued Multivariate Sensory Input.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015
Analyzing the Predictability of Lexeme-specific Prosodic Features as a Cue to Sentence Prominence.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015
2014
Modeling Dependencies in Multiple Parallel Data Streams with Hyperdimensional Computing.
IEEE Signal Process. Lett., 2014
Proceedings of the INTERSPEECH 2014, 2014
Basic cuts revisited: Temporal segmentation of speech into phone-like units with statistical learning at a pre-linguistic level.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014
2013
Feedback and imitation by a caregiver guides a virtual infant to learn native phonemes and the skill of speech inversion.
Speech Commun., 2013
Development of a novel robust measure for interhemispheric synchrony in the neonatal EEG: Activation Synchrony Index (ASI).
NeuroImage, 2013
Random subset feature selection in automatic recognition of developmental disorders, affective states, and level of conflict from speech.
Proceedings of the INTERSPEECH 2013, 2013
Proceedings of the INTERSPEECH 2013, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Computational modeling of phonetic and lexical learning in early language acquisition: Existing models and future directions.
Speech Commun., 2012
A method for noise-robust context-aware pattern discovery and recognition from categorical sequences.
Pattern Recognit., 2012
Modeling spoken language acquisition with a generic cognitive architecture for associative learning.
Proceedings of the INTERSPEECH 2012, 2012
Average Spectrotemporal Structure of Continuous Speech Matches with the Frequency Resolution of Human Hearing.
Proceedings of the INTERSPEECH 2012, 2012
Non-auditory cognitive capabilities in computational modeling of early language acquisition.
Proceedings of the INTERSPEECH 2012, 2012
Context induced merging of synonymous word models in computational modeling of early language acquisition.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Acoustic analysis supports the existence of a single distributional learning mechanism in structural rule learning from an artificial language.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012
2011
Proceedings of the INTERSPEECH 2011, 2011
Comparison of classifiers in audio and acceleration based context classification in mobile phones.
Proceedings of the 19th European Signal Processing Conference, 2011
2010
Estimation studies of vocal tract shape trajectory using a variable length and lossy kelly-lochbaum model.
Proceedings of the INTERSPEECH 2010, 2010
Fully unsupervised word learning from continuous speech using transitional probabilities of atomic acoustic events.
Proceedings of the INTERSPEECH 2010, 2010
2009
Learning meaningful units from multimodal input - the effect of interaction strategies.
Proceedings of the Second Workshop on Child, Computer and Interaction, 2009
A comparison and combination of segmental and fixed-frame signal representations in NMF-based word recognition.
Proceedings of the 17th Nordic Conference of Computational Linguistics, 2009
Indirect estimation of formant frequencies through mean spectral variance with application to automatic gender recognition.
Proceedings of the Sixth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2009
A noise robust method for pattern discovery in quantized time series: the concept matrix approach.
Proceedings of the INTERSPEECH 2009, 2009
Proceedings of the INTERSPEECH 2009, 2009
Proceedings of the INTERSPEECH 2009, 2009
Proceedings of the INTERSPEECH 2009, 2009
Discovering keywords from cross-modal input: ecological vs. engineering methods for enhancing acoustic repetitions.
Proceedings of the INTERSPEECH 2009, 2009
2008
Proceedings of the INTERSPEECH 2008, 2008