Computational language acquisition by statistical bottom-up processing. - Okko Johannes Räsänen; Unto K. Laine; Toomas Altosaar (INTERSPEECH, 2008)

Discovering keywords from cross-modal input: ecological vs. engineering methods for enhancing acoustic repetitions. - Guillaume Aimetti; Roger K. Moore; Louis ten Bosch; Okko Johannes Räsänen; Unto Kalervo Laine (INTERSPEECH, 2009)

Do multiple caregivers speed up language acquisition? - Louis ten Bosch; Okko Johannes Räsänen; Joris Driesen; Guillaume Aimetti; Toomas Altosaar; Lou Boves; A. Corns (INTERSPEECH, 2009)

Self-learning vector quantization for pattern discovery from speech. - Okko Johannes Räsänen; Unto K. Laine; Toomas Altosaar (INTERSPEECH, 2009)

An improved speech segmentation quality measure: the r-value. - Okko Johannes Räsänen; Unto Kalervo Laine; Toomas Altosaar (INTERSPEECH, 2009)

A noise robust method for pattern discovery in quantized time series: the concept matrix approach. - Okko Johannes Räsänen; Unto Kalervo Laine; Toomas Altosaar (INTERSPEECH, 2009)

Indirect estimation of formant frequencies through mean spectral variance with application to automatic gender recognition. - Unto K. Laine; Okko Johannes Räsänen (MAVEBA, 2009)

A comparison and combination of segmental and fixed-frame signal representations in NMF-based word recognition. - Okko Johannes Räsänen; Joris Driesen (NODALIDA, 2009)

Learning meaningful units from multimodal input - the effect of interaction strategies. - Louis ten Bosch; Lou Boves; Okko Räsänen (WOCCI, 2009)

Fully unsupervised word learning from continuous speech using transitional probabilities of atomic acoustic events. - Okko Johannes Räsänen (INTERSPEECH, 2010)

Estimation studies of vocal tract shape trajectory using a variable length and lossy kelly-lochbaum model. - Heikki Rasilo; Unto K. Laine; Okko Johannes Räsänen (INTERSPEECH, 2010)

Comparison of classifiers in audio and acceleration based context classification in mobile phones. - Okko Johannes Räsänen; Jussi Leppänen; Unto K. Laine; Jukka P. Saarinen (EUSIPCO, 2011)

Method for Speech Inversion with Large Scale Statistical Evaluation. - Heikki Rasilo; Unto K. Laine; Okko Johannes Räsänen; Toomas Altosaar (INTERSPEECH, 2011)

Acoustic analysis supports the existence of a single distributional learning mechanism in structural rule learning from an artificial language. - Okko Räsänen; Heikki Rasilo (CogSci, 2012)

Hierarchical unsupervised discovery of user context from multivariate sensory data. - Okko Räsänen (ICASSP, 2012)

Context induced merging of synonymous word models in computational modeling of early language acquisition. - Okko Räsänen (ICASSP, 2012)

Feature Selection for Speaker Traits. - Jouni Pohjalainen; Serdar Kadioglu; Okko Räsänen (INTERSPEECH, 2012)

Non-auditory cognitive capabilities in computational modeling of early language acquisition. - Okko Räsänen (INTERSPEECH, 2012)

Average Spectrotemporal Structure of Continuous Speech Matches with the Frequency Resolution of Human Hearing. - Okko Räsänen (INTERSPEECH, 2012)

Modeling spoken language acquisition with a generic cognitive architecture for associative learning. - Okko Räsänen; Heikki Rasilo; Unto K. Laine (INTERSPEECH, 2012)

A method for noise-robust context-aware pattern discovery and recognition from categorical sequences. - Okko Johannes Räsänen; Unto K. Laine (Pattern Recognit., 2012)

Computational modeling of phonetic and lexical learning in early language acquisition: Existing models and future directions. - Okko Räsänen (Speech Commun., 2012)

Attention based temporal filtering of sensory signals for data redundancy reduction. - Sofoklis Kakouros; Okko Johannes Räsänen; Unto K. Laine (ICASSP, 2013)

Automatic self-supervised learning of associations between speech and text. - Juha Knuuttila; Okko Räsänen; Unto K. Laine (INTERSPEECH, 2013)

Random subset feature selection in automatic recognition of developmental disorders, affective states, and level of conflict from speech. - Okko Räsänen; Jouni Pohjalainen (INTERSPEECH, 2013)

Development of a novel robust measure for interhemispheric synchrony in the neonatal EEG: Activation Synchrony Index (ASI). - Okko Räsänen; Marjo Metsäranta; Sampsa Vanhatalo (NeuroImage, 2013)

Feedback and imitation by a caregiver guides a virtual infant to learn native phonemes and the skill of speech inversion. - Heikki Rasilo; Okko Räsänen; Unto K. Laine (Speech Commun., 2013)

Statistical Unpredictability of F0 Trajectories as a Cue to Sentence Stress. - Sofoklis Kakouros; Okko Johannes Räsänen (CogSci, 2014)

Basic cuts revisited: Temporal segmentation of speech into phone-like units with statistical learning at a pre-linguistic level. - Okko Räsänen (CogSci, 2014)

Perception of sentence stress in English infant directed speech. - Sofoklis Kakouros; Okko Räsänen (INTERSPEECH, 2014)

Modeling Dependencies in Multiple Parallel Data Streams with Hyperdimensional Computing. - Okko Johannes Räsänen; Sofoklis Kakouros (IEEE Signal Process. Lett., 2014)

Analyzing the Predictability of Lexeme-specific Prosodic Features as a Cue to Sentence Prominence. - Sofoklis Kakouros; Okko Johannes Räsänen (CogSci, 2015)

Generating Hyperdimensional Distributed Representations from Continuous-Valued Multivariate Sensory Input. - Okko Johannes Räsänen (CogSci, 2015)

Cross-situational cues are relevant for early word segmentation. - Okko Johannes Räsänen; Heikki Rasilo (CogSci, 2015)

Computational evidence for effects of memory decay, familiarity preference and mutual exclusivity in cross-situational learning. - Heikki Rasilo; Okko Johannes Räsänen (CogSci, 2015)

Data-driven metric representing the maturation of preterm EEG. - Ninah Koolen; Anneleen Dereymaeker; Okko Johannes Räsänen; Katrien Jansen; Jan Vervisch; Vladimir Matic; Maarten De Vos; Gunnar Naulaers; Sabine Van Huffel; Sampsa Vanhatalo (EMBC, 2015)

Automatic detection of sentence prominence in speech using predictability of word-level acoustic features. - Sofoklis Kakouros; Okko Räsänen (INTERSPEECH, 2015)

Unsupervised word discovery from speech using automatic segmentation into syllable-like units. - Okko Räsänen; Gabriel Doyle; Michael C. Frank (INTERSPEECH, 2015)

Weakly-supervised word learning is improved by an active online algorithm. - Heikki Rasilo; Okko Räsänen (INTERSPEECH, 2015)

Feature selection methods and their combinations in high-dimensional classification of speaker likability, intelligibility and personality traits. - Jouni Pohjalainen; Okko Räsänen; Serdar Kadioglu (Comput. Speech Lang., 2015)

Statistical Learning of Prosodic Patterns and Reversal of Perceptual Cues for Sentence Prominence. - Sofoklis Kakouros; Okko Räsänen (CogSci, 2016)

A Cognitive Approach to Modeling Sentence Level Prominence Based on Stimulus Unpredictability. - Sofoklis Kakouros; Okko Räsänen (CogSci, 2016)

Analyzing distributional learning of phonemic categories in unsupervised deep neural networks. - Okko Räsänen; Tasha Nagamine; Nima Mesgarani (CogSci, 2016)

Analyzing the Contribution of Top-Down Lexical and Bottom-Up Acoustic Cues in the Detection of Sentence Prominence. - Sofoklis Kakouros; Joris Pelemans; Lyan Verwimp; Patrick Wambacq; Okko Räsänen (INTERSPEECH, 2016)

Perception of Sentence Stress in Speech Correlates With the Temporal Unpredictability of Prosodic Features. - Sofoklis Kakouros; Okko Räsänen (Cogn. Sci., 2016)

Improving Phoneme segmentation with Recurrent Neural Networks. - Paul Michel; Okko Räsänen; Roland Thiollière; Emmanuel Dupoux (CoRR, 2016)

3PRO - An unsupervised method for the automatic detection of sentence prominence in speech. - Sofoklis Kakouros; Okko Räsänen (Speech Commun., 2016)

Sequence Prediction With Sparse Distributed Hyperdimensional Coding Applied to the Analysis of Mobile Phone Use Patterns. - Okko Johannes Räsänen; Jukka P. Saarinen (IEEE Trans. Neural Networks Learn. Syst., 2016)

Blind Phoneme Segmentation With Temporal Prediction Errors. - Paul Michel; Okko Räsänen; Roland Thiollière; Emmanuel Dupoux (ACL (Student Research Workshop), 2017)

Connecting stimulus-driven attention to the properties of infant-directed speech - Is exaggerated intonation also more surprising? - Okko Räsänen; Sofoklis Kakouros; Melanie Soderstrom (CogSci, 2017)

Dirichlet process mixture models for clustering i-vector data. - Shreyas Seshadri; Ulpu Remes; Okko Räsänen (ICASSP, 2017)

Evaluation of Spectral Tilt Measures for Sentence Prominence Under Different Noise Conditions. - Sofoklis Kakouros; Okko Räsänen; Paavo Alku (INTERSPEECH, 2017)

Speaking Style Conversion from Normal to Lombard Speech Using a Glottal Vocoder and Bayesian GMMs. - Ana Ramírez López; Shreyas Seshadri; Lauri Juvela; Okko Räsänen; Paavo Alku (INTERSPEECH, 2017)

Comparison of Non-Parametric Bayesian Mixture Models for Syllable Clustering and Zero-Resource Speech Processing. - Shreyas Seshadri; Ulpu Remes; Okko Räsänen (INTERSPEECH, 2017)

An online model for vowel imitation learning. - Heikki Rasilo; Okko Räsänen (Speech Commun., 2017)

Time-regularized Linear Prediction for Noise-robust Extraction of the Spectral Envelope of Speech. - Manu Airaksinen; Lauri Juvela; Okko Räsänen; Paavo Alku (INTERSPEECH, 2018)

Comparison of Syllabification Algorithms and Training Strategies for Robust Word Count Estimation across Different Languages and Recording Conditions. - Okko Räsänen; Shreyas Seshadri; Marisa Casillas (INTERSPEECH, 2018)

Comparison of spectral tilt measures for sentence prominence in speech - Effects of dimensionality and adverse noise conditions. - Sofoklis Kakouros; Okko Räsänen; Paavo Alku (Speech Commun., 2018)

Data Augmentation Strategies for Neural Network F0 Estimation. - Manu Airaksinen; Lauri Juvela; Paavo Alku; Okko Räsänen (ICASSP, 2019)

Cycle-consistent Adversarial Networks for Non-parallel Vocal Effort Based Speaking Style Conversion. - Shreyas Seshadri; Lauri Juvela; Junichi Yamagishi; Okko Räsänen; Paavo Alku (ICASSP, 2019)

A Computational Model of Early Language Acquisition from Audiovisual Experiences of Young Infants. - Okko Räsänen; Khazar Khorrami (INTERSPEECH, 2019)

Augmented CycleGANs for Continuous Scale Normal-to-Lombard Speaking Style Conversion. - Shreyas Seshadri; Lauri Juvela; Paavo Alku; Okko Räsänen (INTERSPEECH, 2019)

Vocal Effort Based Speaking Style Conversion Using Vocoder Features and Parallel Learning. - Shreyas Seshadri; Lauri Juvela; Okko Räsänen; Paavo Alku (IEEE Access, 2019)

Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors. - Manu Airaksinen; Okko Räsänen; Elina Ilén; Taru Häyrinen; Anna Kivi; Viviana Marchi; Anastasia Gallen; Sonja Blom; Anni Varhe; Nico Kaartinen; Leena M. Haataja; Sampsa Vanhatalo (CoRR, 2019)

Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech. - Okko Räsänen; Shreyas Seshadri; Julien Karadayi; Eric Riebling; John P. Bunce; Alejandrina Cristià; Florian Metze; Marisa Casillas; Celia Rosemberg; Elika Bergelson; Melanie Soderstrom (Speech Commun., 2019)

SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech. - Shreyas Seshadri; Okko Räsänen (IEEE Signal Process. Lett., 2019)

Measuring prosodic predictability in children's home language environments. - Kyle MacDonald; Marisa Casillas; Okko Räsänen; Anne S. Warlaumont (CogSci, 2020)

Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics. - Okko Räsänen; María Andrea Cruz Blandón (INTERSPEECH, 2020)

Analysis of Predictive Coding Models for Phonemic Representation Learning in Small Datasets. - María Andrea Cruz Blandón; Okko Räsänen (CoRR, 2020)

Zero-Shot Audio Classification with Factored Linear and Nonlinear Acoustic-Semantic Projections. - Huang Xie; Okko Räsänen; Tuomas Virtanen (ICASSP, 2021)

Evaluation of Audio-Visual Alignments in Visually Grounded Speech Models. - Khazar Khorrami; Okko Räsänen (Interspeech, 2021)

Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit. - Einari Vaaras; Sari Ahlqvist-Björkroth; Konstantinos Drossos; Okko Räsänen (Interspeech, 2021)

ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition. - Afra Alishahi; Grzegorz Chrupala; Alejandrina Cristià; Emmanuel Dupoux; Bertrand Higy; Marvin Lavechin; Okko Räsänen; Chen Yu (CoRR, 2021)

Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? - A computational investigation. - Khazar Khorrami; Okko Räsänen (CoRR, 2021)

Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channel. - Kevin Eloff; Arnu Pretorius; Okko Räsänen; Herman A. Engelbrecht; Herman Kamper (CoRR, 2021)

Language-Independent Approach for Automatic Computation of Vowel Articulation Features in Dysarthric Speech Assessment. - Yuanyuan Liu 002; Nelly Penttilä; Tiina Ihalainen; Juulia Lintula; Rachel Convey; Okko Räsänen (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Unsupervised Audio-Caption Aligning Learns Correspondences Between Individual Sound Events and Textual Phrases. - Huang Xie; Okko Räsänen; Konstantinos Drossos; Tuomas Virtanen (ICASSP, 2022)

Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition. - Einari Vaaras; Manu Airaksinen; Okko Räsänen (INTERSPEECH, 2022)

Analysing the Impact of Audio Quality on the Use of Naturalistic Long-Form Recordings for Infant-Directed Speech Research. - María Andrea Cruz Blandón; Alejandrina Cristià; Okko Räsänen (CogSci, 2023)

Computational Insights to Acquisition of Phonemes, Words, and Word Meanings in Early Language: Sequential or Parallel Acquisition? - Khazar Khorrami; María Andrea Cruz Blandón; Okko Räsänen (CogSci, 2023)

Is Reliability of Cognitive Measures in Children Dependent on Participant Age? A Case Study with Two Large-Scale Datasets. - Okko Räsänen; María Andrea Cruz Blandón; Jukka Leppänen (CogSci, 2023)

Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors. - Einari Vaaras; Manu Airaksinen; Sampsa Vanhatalo; Okko Räsänen (EMBC, 2023)

Simultaneous or Sequential Training? How Speech Representations Cooperate in a Multi-Task Self-Supervised Learning System. - Khazar Khorrami; María Andrea Cruz Blandón; Tuomas Virtanen; Okko Räsänen (EUSIPCO, 2023)

On Negative Sampling for Contrastive Audio-Text Retrieval. - Huang Xie; Okko Räsänen; Tuomas Virtanen (ICASSP, 2023)

BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models. - Marvin Lavechin; Yaya Sy; Hadrien Titeux; María Andrea Cruz Blandón; Okko Räsänen; Hervé Bredin; Emmanuel Dupoux; Alejandrina Cristià (INTERSPEECH, 2023)

Syllable Discovery and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech Model. - Puyuan Peng; Shang-Wen Li 001; Okko Räsänen; Abdelrahman Mohamed; David Harwath (INTERSPEECH, 2023)

Syllable Discovery and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech Mode. - Puyuan Peng; Shang-Wen Li 001; Okko Räsänen; Abdelrahman Mohamed; David Harwath (CoRR, 2023)

Crowdsourcing and Evaluating Text-Based Audio Retrieval Relevances. - Huang Xie; Khazar Khorrami; Okko Räsänen; Tuomas Virtanen (CoRR, 2023)

Automatic Assessment of Parkinson's Disease Using Speech Representations of Phonation and Articulation. - Yuanyuan Liu 002; Mittapalle Kiran Reddy; Nelly Penttilä; Tiina Ihalainen; Paavo Alku; Okko Räsänen (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Development of a speech emotion recognizer for large-scale child-centered audio recordings from a hospital environment. - Einari Vaaras; Sari Ahlqvist-Björkroth; Konstantinos Drossos; Liisa Lehtonen; Okko Räsänen (Speech Commun., 2023)

Comparison of End-to-End Neural Network Architectures and Data Augmentation Methods for Automatic Infant Motility Assessment Using Wearable Sensors. - Manu Airaksinen; Sampsa Vanhatalo; Okko Räsänen (Sensors, 2023)

Introducing Meta-analysis in the Evaluation of Computational Models of Infant Language Development. - María Andrea Cruz Blandón; Alejandrina Cristià; Okko Räsänen (Cogn. Sci., 2023)

The Difficulty and Importance of Estimating the Lower and Upper Bounds of Infant Speech Exposure. - Joseph Coffey; Okko Räsänen; Camila Scaff; Alejandrina Cristià (INTERSPEECH, 2024)

Age-Dependent Analysis and Stochastic Generation of Child-Directed Speech. - Okko Räsänen; Daniil Kocharov (CoRR, 2024)

IAR 2.0: An Algorithm for Refining Inconsistent Annotations for Time-Series Data Using Discriminative Classifiers. - Einari Vaaras; Manu Airaksinen; Okko Räsänen (IEEE Access, 2025)

PFML: Self-Supervised Learning of Time-Series Data Without Representation Collapse. - Einari Vaaras; Manu Airaksinen; Okko Räsänen (IEEE Access, 2025)

A model of early word acquisition based on realistic-scale audiovisual naming events. - Khazar Khorrami; Okko Räsänen (Speech Commun., 2025)

Text-Based Audio Retrieval by Learning From Similarities Between Audio Captions. - Huang Xie; Khazar Khorrami; Okko Räsänen; Tuomas Virtanen (IEEE Signal Process. Lett., 2025)

Investigating Affect Mining Techniques for Annotation Sample Selection in the Creation of Finnish Affective Speech Corpus. - Kalle Lahtinen; Einari Vaaras; Liisa Mustanoja; Okko Räsänen (CoRR, 2025)

Enabling automatic transcription of child-centered audio recordings from real-world environments. - Daniil Kocharov; Okko Räsänen (CoRR, 2025)