Okko Räsänen

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 66

Top Topics

Temporal Segmentation

Statistical Learning

Speech Emotion Recognition

Language Acquisition

Top Venues

Publications

Khazar Khorrami, Okko Räsänen
A model of early word acquisition based on realistic-scale audiovisual naming events. CoRR (2024)
Okko Räsänen, Daniil Kocharov
Age-Dependent Analysis and Stochastic Generation of Child-Directed Speech. CoRR (2024)
Khazar Khorrami, María Andrea Cruz Blandón, Tuomas Virtanen, Okko Räsänen
Simultaneous or Sequential Training? How Speech Representations Cooperate in a Multi-Task Self-Supervised Learning System. EUSIPCO (2023)
María Andrea Cruz Blandón, Alejandrina Cristià, Okko Räsänen
Analysing the Impact of Audio Quality on the Use of Naturalistic Long-Form Recordings for Infant-Directed Speech Research. CogSci (2023)
Einari Vaaras, Sari Ahlqvist-Björkroth, Konstantinos Drossos, Liisa Lehtonen, Okko Räsänen
Development of a speech emotion recognizer for large-scale child-centered audio recordings from a hospital environment. Speech Commun. 148 (2023)
Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen
Comparison of End-to-End Neural Network Architectures and Data Augmentation Methods for Automatic Infant Motility Assessment Using Wearable Sensors. Sensors 23 (7) (2023)
Puyuan Peng, Shang-Wen Li, Okko Räsänen, Abdelrahman Mohamed, David Harwath
Syllable Discovery and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech Model. INTERSPEECH (2023)
Khazar Khorrami, María Andrea Cruz Blandón, Tuomas Virtanen, Okko Räsänen
Simultaneous or Sequential Training? How Speech Representations Cooperate in a Multi-Task Self-Supervised Learning System. CoRR (2023)
Marvin Lavechin, Yaya Sy, Hadrien Titeux, María Andrea Cruz Blandón, Okko Räsänen, Hervé Bredin, Emmanuel Dupoux, Alejandrina Cristià
BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models. INTERSPEECH (2023)
Puyuan Peng, Shang-Wen Li, Okko Räsänen, Abdelrahman Mohamed, David Harwath
Syllable Discovery and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech Mode. CoRR (2023)
Huang Xie, Khazar Khorrami, Okko Räsänen, Tuomas Virtanen
Crowdsourcing and Evaluating Text-Based Audio Retrieval Relevances. CoRR (2023)
Marvin Lavechin, Yaya Sy, Hadrien Titeux, María Andrea Cruz Blandón, Okko Räsänen, Hervé Bredin, Emmanuel Dupoux, Alejandrina Cristià
BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models. CoRR (2023)
Okko Räsänen, María Andrea Cruz Blandón, Jukka Leppänen
Is Reliability of Cognitive Measures in Children Dependent on Participant Age? A Case Study with Two Large-Scale Datasets. CogSci (2023)
Einari Vaaras, Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors. EMBC (2023)
María Andrea Cruz Blandón, Alejandrina Cristià, Okko Räsänen
Introducing Meta-analysis in the Evaluation of Computational Models of Infant Language Development. Cogn. Sci. 47 (7) (2023)
María Andrea Cruz Blandón, Alejandrina Cristià, Okko Räsänen
Analysing the Impact of Audio Quality on the Use of Naturalistic Long-Form Recordings for Infant-Directed Speech Research. CoRR (2023)
Huang Xie, Okko Räsänen, Tuomas Virtanen
On Negative Sampling for Contrastive Audio-Text Retrieval. ICASSP (2023)
Khazar Khorrami, María Andrea Cruz Blandón, Okko Räsänen
Computational Insights to Acquisition of Phonemes, Words, and Word Meanings in Early Language: Sequential or Parallel Acquisition? CogSci (2023)
Einari Vaaras, Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors. CoRR (2023)
Yuanyuan Liu, Mittapalle Kiran Reddy, Nelly Penttilä, Tiina Ihalainen, Paavo Alku, Okko Räsänen
Automatic Assessment of Parkinson's Disease Using Speech Representations of Phonation and Articulation. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Einari Vaaras, Manu Airaksinen, Okko Räsänen
Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition. CoRR (2022)
Huang Xie, Okko Räsänen, Tuomas Virtanen
On Negative Sampling for Contrastive Audio-Text Retrieval. CoRR (2022)
Einari Vaaras, Manu Airaksinen, Okko Räsänen
Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition. INTERSPEECH (2022)
Huang Xie, Okko Räsänen, Konstantinos Drossos, Tuomas Virtanen
Unsupervised Audio-Caption Aligning Learns Correspondences Between Individual Sound Events and Textual Phrases. ICASSP (2022)
Khazar Khorrami, Okko Räsänen
Evaluation of Audio-Visual Alignments in Visually Grounded Speech Models. CoRR (2021)
Yuanyuan Liu, Nelly Penttilä, Tiina Ihalainen, Juulia Lintula, Rachel Convey, Okko Räsänen
Language-Independent Approach for Automatic Computation of Vowel Articulation Features in Dysarthric Speech Assessment. CoRR (2021)
Einari Vaaras, Sari Ahlqvist-Björkroth, Konstantinos Drossos, Okko Räsänen
Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit. Interspeech (2021)
Einari Vaaras, Sari Ahlqvist-Björkroth, Konstantinos Drossos, Okko Räsänen
Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit. CoRR (2021)
Khazar Khorrami, Okko Räsänen
Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? - A computational investigation. CoRR (2021)
Kevin Eloff, Arnu Pretorius, Okko Räsänen, Herman A. Engelbrecht, Herman Kamper
Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channel. CoRR (2021)
Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen
Comparison of end-to-end neural network architectures and data augmentation methods for automatic infant motility assessment using wearable sensors. CoRR (2021)
Khazar Khorrami, Okko Räsänen
Evaluation of Audio-Visual Alignments in Visually Grounded Speech Models. Interspeech (2021)
Huang Xie, Okko Räsänen, Tuomas Virtanen
Zero-Shot Audio Classification with Factored Linear and Nonlinear Acoustic-Semantic Projections. ICASSP (2021)
Yuanyuan Liu, Nelly Penttilä, Tiina Ihalainen, Juulia Lintula, Rachel Convey, Okko Räsänen
Language-Independent Approach for Automatic Computation of Vowel Articulation Features in Dysarthric Speech Assessment. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Afra Alishahi, Grzegorz Chrupala, Alejandrina Cristià, Emmanuel Dupoux, Bertrand Higy, Marvin Lavechin, Okko Räsänen, Chen Yu
ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition. CoRR (2021)
María Andrea Cruz Blandón, Okko Räsänen
Analysis of Predictive Coding Models for Phonemic Representation Learning in Small Datasets. CoRR (2020)
Okko Räsänen, María Andrea Cruz Blandón
Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics. INTERSPEECH (2020)
Okko Räsänen, María Andrea Cruz Blandón
Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics. CoRR (2020)
Kyle MacDonald, Marisa Casillas, Okko Räsänen, Anne S. Warlaumont
Measuring prosodic predictability in children's home language environments. CogSci (2020)
Shreyas Seshadri, Lauri Juvela, Junichi Yamagishi, Okko Räsänen, Paavo Alku
Cycle-consistent Adversarial Networks for Non-parallel Vocal Effort Based Speaking Style Conversion. ICASSP (2019)
Manu Airaksinen, Lauri Juvela, Paavo Alku, Okko Räsänen
Data Augmentation Strategies for Neural Network F0 Estimation. ICASSP (2019)
Manu Airaksinen, Okko Räsänen, Elina Ilén, Taru Häyrinen, Anna Kivi, Viviana Marchi, Anastasia Gallen, Sonja Blom, Anni Varhe, Nico Kaartinen, Leena Haataja, Sampsa Vanhatalo
Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors. CoRR (2019)
Okko Räsänen, Khazar Khorrami
A Computational Model of Early Language Acquisition from Audiovisual Experiences of Young Infants. INTERSPEECH (2019)
Okko Räsänen, Shreyas Seshadri, Julien Karadayi, Eric Riebling, John Bunce, Alejandrina Cristià, Florian Metze, Marisa Casillas, Celia Rosemberg, Elika Bergelson, Melanie Soderstrom
Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech. Speech Commun. 113 (2019)
Shreyas Seshadri, Lauri Juvela, Paavo Alku, Okko Räsänen
Augmented CycleGANs for Continuous Scale Normal-to-Lombard Speaking Style Conversion. INTERSPEECH (2019)
Shreyas Seshadri, Okko Räsänen
SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech. IEEE Signal Process. Lett. 26 (9) (2019)
Okko Räsänen, Khazar Khorrami
A computational model of early language acquisition from audiovisual experiences of young infants. CoRR (2019)
Shreyas Seshadri, Okko Räsänen
SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech. CoRR (2019)
Shreyas Seshadri, Lauri Juvela, Okko Räsänen, Paavo Alku
Vocal Effort Based Speaking Style Conversion Using Vocoder Features and Parallel Learning. IEEE Access 7 (2019)
Okko Räsänen, Shreyas Seshadri, Marisa Casillas
Comparison of Syllabification Algorithms and Training Strategies for Robust Word Count Estimation across Different Languages and Recording Conditions. INTERSPEECH (2018)
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 (2018)
Manu Airaksinen, Lauri Juvela, Okko Räsänen, Paavo Alku
Time-regularized Linear Prediction for Noise-robust Extraction of the Spectral Envelope of Speech. INTERSPEECH (2018)
Ana Ramírez López, Shreyas Seshadri, Lauri Juvela, Okko Räsänen, Paavo Alku
Speaking Style Conversion from Normal to Lombard Speech Using a Glottal Vocoder and Bayesian GMMs. INTERSPEECH (2017)
Shreyas Seshadri, Ulpu Remes, Okko Räsänen
Dirichlet process mixture models for clustering i-vector data. ICASSP (2017)
Shreyas Seshadri, Ulpu Remes, Okko Räsänen
Comparison of Non-Parametric Bayesian Mixture Models for Syllable Clustering and Zero-Resource Speech Processing. INTERSPEECH (2017)
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)
Heikki Rasilo, Okko Räsänen
An online model for vowel imitation learning. Speech Commun. 86 (2017)
Paul Michel, Okko Räsänen, Roland Thiollière, Emmanuel Dupoux
Blind Phoneme Segmentation With Temporal Prediction Errors. ACL (Student Research Workshop) (2017)
Sofoklis Kakouros, Okko Räsänen, Paavo Alku
Evaluation of Spectral Tilt Measures for Sentence Prominence Under Different Noise Conditions. INTERSPEECH (2017)
Sofoklis Kakouros, Okko Räsänen
3PRO - An unsupervised method for the automatic detection of sentence prominence in speech. Speech Commun. 82 (2016)
Okko Räsänen, Tasha Nagamine, Nima Mesgarani
Analyzing distributional learning of phonemic categories in unsupervised deep neural networks. CogSci (2016)
Sofoklis Kakouros, Okko Räsänen
A Cognitive Approach to Modeling Sentence Level Prominence Based on Stimulus Unpredictability. CogSci (2016)
Sofoklis Kakouros, Okko Räsänen
Perception of Sentence Stress in Speech Correlates With the Temporal Unpredictability of Prosodic Features. Cogn. Sci. 40 (7) (2016)
Sofoklis Kakouros, Okko Räsänen
Statistical Learning of Prosodic Patterns and Reversal of Perceptual Cues for Sentence Prominence. CogSci (2016)
Paul Michel, Okko Räsänen, Roland Thiollière, Emmanuel Dupoux
Improving Phoneme segmentation with Recurrent Neural Networks. CoRR (2016)
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)
Jouni Pohjalainen, Okko Räsänen, Serdar Kadioglu
Feature selection methods and their combinations in high-dimensional classification of speaker likability, intelligibility and personality traits. Comput. Speech Lang. 29 (1) (2015)
Okko Räsänen, Gabriel Doyle, Michael C. Frank
Unsupervised word discovery from speech using automatic segmentation into syllable-like units. INTERSPEECH (2015)
Sofoklis Kakouros, Okko Räsänen
Automatic detection of sentence prominence in speech using predictability of word-level acoustic features. INTERSPEECH (2015)
Heikki Rasilo, Okko Räsänen
Weakly-supervised word learning is improved by an active online algorithm. INTERSPEECH (2015)
Sofoklis Kakouros, Okko Räsänen
Perception of sentence stress in English infant directed speech. INTERSPEECH (2014)
Okko Räsänen
Basic cuts revisited: Temporal segmentation of speech into phone-like units with statistical learning at a pre-linguistic level. CogSci (2014)
Okko Räsänen, Jouni Pohjalainen
Random subset feature selection in automatic recognition of developmental disorders, affective states, and level of conflict from speech. INTERSPEECH (2013)
Okko Räsänen, Marjo Metsäranta, Sampsa Vanhatalo
Development of a novel robust measure for interhemispheric synchrony in the neonatal EEG: Activation Synchrony Index (ASI). NeuroImage 69 (2013)
Juha Knuuttila, Okko Räsänen, Unto K. Laine
Automatic self-supervised learning of associations between speech and text. INTERSPEECH (2013)
Heikki Rasilo, Okko Räsänen, Unto K. Laine
Feedback and imitation by a caregiver guides a virtual infant to learn native phonemes and the skill of speech inversion. Speech Commun. 55 (9) (2013)
Okko Räsänen, Heikki Rasilo
Acoustic analysis supports the existence of a single distributional learning mechanism in structural rule learning from an artificial language. CogSci (2012)
Okko Räsänen, Heikki Rasilo, Unto K. Laine
Modeling spoken language acquisition with a generic cognitive architecture for associative learning. INTERSPEECH (2012)
Okko Räsänen
Hierarchical unsupervised discovery of user context from multivariate sensory data. ICASSP (2012)
Okko Räsänen
Context induced merging of synonymous word models in computational modeling of early language acquisition. ICASSP (2012)
Okko Räsänen
Average Spectrotemporal Structure of Continuous Speech Matches with the Frequency Resolution of Human Hearing. INTERSPEECH (2012)
Okko Räsänen
Non-auditory cognitive capabilities in computational modeling of early language acquisition. INTERSPEECH (2012)
Jouni Pohjalainen, Serdar Kadioglu, Okko Räsänen
Feature Selection for Speaker Traits. INTERSPEECH (2012)
Okko Räsänen
Computational modeling of phonetic and lexical learning in early language acquisition: Existing models and future directions. Speech Commun. 54 (9) (2012)
Louis ten Bosch, Lou Boves, Okko Räsänen
Learning meaningful units from multimodal input - the effect of interaction strategies. WOCCI (2009)