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2020 – today
- 2024
[i23]Okko Räsänen, Daniil Kocharov:
Age-Dependent Analysis and Stochastic Generation of Child-Directed Speech. CoRR abs/2405.07700 (2024)- [i22]Khazar Khorrami, Okko Räsänen:
A model of early word acquisition based on realistic-scale audiovisual naming events. CoRR abs/2406.05259 (2024) - 2023
- [j19]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) - [j18]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): 3773 (2023) - [j17]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: 9-22 (2023) - [j16]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: 242-255 (2023) - [c65]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 - [c64]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 - [c63]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 - [c62]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: 1-6 - [c61]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: 431-435 - [c60]Huang Xie, Okko Räsänen, Tuomas Virtanen:
On Negative Sampling for Contrastive Audio-Text Retrieval. ICASSP 2023: 1-5 - [c59]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: 391-395 - [c58]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: 4588-4592 - [i21]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 abs/2305.01965 (2023) - [i20]Einari Vaaras, Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen:
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors. CoRR abs/2305.09366 (2023) - [i19]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 abs/2305.11435 (2023) - [i18]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 abs/2306.01506 (2023) - [i17]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 abs/2306.02972 (2023) - [i16]Huang Xie, Khazar Khorrami, Okko Räsänen, Tuomas Virtanen:
Crowdsourcing and Evaluating Text-Based Audio Retrieval Relevances. CoRR abs/2306.09820 (2023) - 2022
- [c57]Huang Xie, Okko Räsänen, Konstantinos Drossos, Tuomas Virtanen:
Unsupervised Audio-Caption Aligning Learns Correspondences Between Individual Sound Events and Textual Phrases. ICASSP 2022: 8867-8871 - [c56]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: 1143-1147 - [i15]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 abs/2206.10188 (2022) - [i14]Huang Xie, Okko Räsänen, Tuomas Virtanen:
On Negative Sampling for Contrastive Audio-Text Retrieval. CoRR abs/2211.04070 (2022) - 2021
- [j15]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: 2228-2243 (2021) - [c55]Huang Xie, Okko Räsänen, Tuomas Virtanen:
Zero-Shot Audio Classification with Factored Linear and Nonlinear Acoustic-Semantic Projections. ICASSP 2021: 326-330 - [c54]Khazar Khorrami, Okko Räsänen:
Evaluation of Audio-Visual Alignments in Visually Grounded Speech Models. Interspeech 2021: 2996-3000 - [c53]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: 3380-3384 - [i13]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 abs/2106.09539 (2021) - [i12]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 abs/2107.01086 (2021) - [i11]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 abs/2107.06546 (2021) - [i10]Khazar Khorrami, Okko Räsänen:
Evaluation of Audio-Visual Alignments in Visually Grounded Speech Models. CoRR abs/2108.02562 (2021) - [i9]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 abs/2108.06943 (2021) - [i8]Khazar Khorrami, Okko Räsänen:
Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? - A computational investigation. CoRR abs/2109.14200 (2021) - [i7]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 abs/2111.02827 (2021) - 2020
- [c52]Kyle MacDonald, Marisa Casillas, Okko Räsänen, Anne S. Warlaumont:
Measuring prosodic predictability in children's home language environments. CogSci 2020 - [c51]Okko Räsänen, María Andrea Cruz Blandón:
Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics. INTERSPEECH 2020: 4871-4875 - [i6]María Andrea Cruz Blandón, Okko Räsänen:
Analysis of Predictive Coding Models for Phonemic Representation Learning in Small Datasets. CoRR abs/2007.04205 (2020) - [i5]Okko Räsänen, María Andrea Cruz Blandón:
Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics. CoRR abs/2008.00731 (2020)
2010 – 2019
- 2019
- [j14]Shreyas Seshadri, Lauri Juvela, Okko Räsänen, Paavo Alku:
Vocal Effort Based Speaking Style Conversion Using Vocoder Features and Parallel Learning. IEEE Access 7: 17230-17246 (2019) - [j13]Okko Räsänen, Shreyas Seshadri, Julien Karadayi, Eric Riebling, John P. 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: 63-80 (2019) - [j12]Shreyas Seshadri, Okko Räsänen:
SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech. IEEE Signal Process. Lett. 26(9): 1359-1363 (2019) - [c50]Manu Airaksinen, Lauri Juvela, Paavo Alku, Okko Räsänen:
Data Augmentation Strategies for Neural Network F0 Estimation. ICASSP 2019: 6485-6489 - [c49]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: 6835-6839 - [c48]Shreyas Seshadri, Lauri Juvela, Paavo Alku, Okko Räsänen:
Augmented CycleGANs for Continuous Scale Normal-to-Lombard Speaking Style Conversion. INTERSPEECH 2019: 2838-2842 - [c47]Okko Räsänen, Khazar Khorrami:
A Computational Model of Early Language Acquisition from Audiovisual Experiences of Young Infants. INTERSPEECH 2019: 3594-3598 - [i4]Shreyas Seshadri, Okko Räsänen:
SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech. CoRR abs/1906.09825 (2019) - [i3]Okko Räsänen, Khazar Khorrami:
A computational model of early language acquisition from audiovisual experiences of young infants. CoRR abs/1906.09832 (2019) - [i2]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 abs/1909.09823 (2019) - 2018
- [j11]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) - [c46]Manu Airaksinen, Lauri Juvela, Okko Räsänen, Paavo Alku:
Time-regularized Linear Prediction for Noise-robust Extraction of the Spectral Envelope of Speech. INTERSPEECH 2018: 701-705 - [c45]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: 1200-1204 - 2017
- [j10]Heikki Rasilo, Okko Räsänen:
An online model for vowel imitation learning. Speech Commun. 86: 1-23 (2017) - [c44]Paul Michel, Okko Räsänen, Roland Thiollière, Emmanuel Dupoux:
Blind Phoneme Segmentation With Temporal Prediction Errors. ACL (Student Research Workshop) 2017: 62-68 - [c43]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 - [c42]Shreyas Seshadri, Ulpu Remes, Okko Räsänen:
Dirichlet process mixture models for clustering i-vector data. ICASSP 2017: 5470-5474 - [c41]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: 1363-1367 - [c40]Shreyas Seshadri, Ulpu Remes, Okko Räsänen:
Comparison of Non-Parametric Bayesian Mixture Models for Syllable Clustering and Zero-Resource Speech Processing. INTERSPEECH 2017: 2744-2748 - [c39]Sofoklis Kakouros, Okko Räsänen, Paavo Alku:
Evaluation of Spectral Tilt Measures for Sentence Prominence Under Different Noise Conditions. INTERSPEECH 2017: 3211-3215 - 2016
- [j9]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) - [j8]Sofoklis Kakouros, Okko Räsänen:
3PRO - An unsupervised method for the automatic detection of sentence prominence in speech. Speech Commun. 82: 67-84 (2016) - [j7]Okko Johannes Räsänen, Jukka P. Saarinen:
Sequence Prediction With Sparse Distributed Hyperdimensional Coding Applied to the Analysis of Mobile Phone Use Patterns. IEEE Trans. Neural Networks Learn. Syst. 27(9): 1878-1889 (2016) - [c38]Sofoklis Kakouros, Okko Räsänen:
Statistical Learning of Prosodic Patterns and Reversal of Perceptual Cues for Sentence Prominence. CogSci 2016 - [c37]Sofoklis Kakouros, Okko Räsänen:
A Cognitive Approach to Modeling Sentence Level Prominence Based on Stimulus Unpredictability. CogSci 2016 - [c36]Okko Räsänen, Tasha Nagamine, Nima Mesgarani:
Analyzing distributional learning of phonemic categories in unsupervised deep neural networks. CogSci 2016 - [c35]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 - [i1]Paul Michel, Okko Räsänen, Roland Thiollière, Emmanuel Dupoux:
Improving Phoneme segmentation with Recurrent Neural Networks. CoRR abs/1608.00508 (2016) - 2015
- [j6]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): 145-171 (2015) - [c34]Sofoklis Kakouros, Okko Johannes Räsänen:
Analyzing the Predictability of Lexeme-specific Prosodic Features as a Cue to Sentence Prominence. CogSci 2015 - [c33]Okko Johannes Räsänen:
Generating Hyperdimensional Distributed Representations from Continuous-Valued Multivariate Sensory Input. CogSci 2015 - [c32]Okko Johannes Räsänen, Heikki Rasilo:
Cross-situational cues are relevant for early word segmentation. CogSci 2015 - [c31]Heikki Rasilo, Okko Johannes Räsänen:
Computational evidence for effects of memory decay, familiarity preference and mutual exclusivity in cross-situational learning. CogSci 2015 - [c30]Ninah Koolen, Anneleen Dereymaeker, Okko Johannes Räsänen, Katrien Jansen, Jan Vervisch, Vladimir Matic, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel, Sampsa Vanhatalo:
Data-driven metric representing the maturation of preterm EEG. EMBC 2015: 1492-1495 - [c29]Sofoklis Kakouros, Okko Räsänen:
Automatic detection of sentence prominence in speech using predictability of word-level acoustic features. INTERSPEECH 2015: 568-572 - [c28]Heikki Rasilo, Okko Räsänen:
Weakly-supervised word learning is improved by an active online algorithm. INTERSPEECH 2015: 1561-1565 - [c27]Okko Räsänen, Gabriel Doyle, Michael C. Frank:
Unsupervised word discovery from speech using automatic segmentation into syllable-like units. INTERSPEECH 2015: 3204-3208 - 2014
- [j5]Okko Johannes Räsänen, Sofoklis Kakouros:
Modeling Dependencies in Multiple Parallel Data Streams with Hyperdimensional Computing. IEEE Signal Process. Lett. 21(7): 899-903 (2014) - [c26]Sofoklis Kakouros, Okko Johannes Räsänen:
Statistical Unpredictability of F0 Trajectories as a Cue to Sentence Stress. CogSci 2014 - [c25]Okko Räsänen:
Basic cuts revisited: Temporal segmentation of speech into phone-like units with statistical learning at a pre-linguistic level. CogSci 2014 - [c24]Sofoklis Kakouros, Okko Räsänen:
Perception of sentence stress in English infant directed speech. INTERSPEECH 2014: 1821-1825 - 2013
- [j4]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: 256-266 (2013) - [j3]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): 909-931 (2013) - [c23]Sofoklis Kakouros, Okko Johannes Räsänen, Unto K. Laine:
Attention based temporal filtering of sensory signals for data redundancy reduction. ICASSP 2013: 3188-3192 - [c22]Okko Räsänen, Jouni Pohjalainen:
Random subset feature selection in automatic recognition of developmental disorders, affective states, and level of conflict from speech. INTERSPEECH 2013: 210-214 - [c21]Juha Knuuttila, Okko Räsänen, Unto K. Laine:
Automatic self-supervised learning of associations between speech and text. INTERSPEECH 2013: 465-469 - 2012
- [j2]Okko Johannes Räsänen, Unto K. Laine:
A method for noise-robust context-aware pattern discovery and recognition from categorical sequences. Pattern Recognit. 45(1): 606-616 (2012) - [j1]Okko Räsänen:
Computational modeling of phonetic and lexical learning in early language acquisition: Existing models and future directions. Speech Commun. 54(9): 975-997 (2012) - [c20]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 - [c19]Okko Räsänen:
Hierarchical unsupervised discovery of user context from multivariate sensory data. ICASSP 2012: 2105-2108 - [c18]Okko Räsänen:
Context induced merging of synonymous word models in computational modeling of early language acquisition. ICASSP 2012: 5037-5040 - [c17]Jouni Pohjalainen, Serdar Kadioglu, Okko Räsänen:
Feature Selection for Speaker Traits. INTERSPEECH 2012: 270-273 - [c16]Okko Räsänen:
Non-auditory cognitive capabilities in computational modeling of early language acquisition. INTERSPEECH 2012: 915-918 - [c15]Okko Räsänen, Heikki Rasilo, Unto K. Laine:
Modeling spoken language acquisition with a generic cognitive architecture for associative learning. INTERSPEECH 2012: 919-922 - [c14]Okko Räsänen:
Average Spectrotemporal Structure of Continuous Speech Matches with the Frequency Resolution of Human Hearing. INTERSPEECH 2012: 1444-1447 - 2011
- [c13]Okko Johannes Räsänen, Jussi Leppänen, Unto K. Laine, Jukka P. Saarinen:
Comparison of classifiers in audio and acceleration based context classification in mobile phones. EUSIPCO 2011: 946-950 - [c12]Heikki Rasilo, Unto K. Laine, Okko Johannes Räsänen, Toomas Altosaar:
Method for Speech Inversion with Large Scale Statistical Evaluation. INTERSPEECH 2011: 2693-2696 - 2010
- [c11]Heikki Rasilo, Unto K. Laine, Okko Johannes Räsänen:
Estimation studies of vocal tract shape trajectory using a variable length and lossy kelly-lochbaum model. INTERSPEECH 2010: 2414-2417 - [c10]Okko Johannes Räsänen:
Fully unsupervised word learning from continuous speech using transitional probabilities of atomic acoustic events. INTERSPEECH 2010: 2922-2925
2000 – 2009
- 2009
- [c9]Louis ten Bosch, Okko Johannes Räsänen, Joris Driesen, Guillaume Aimetti, Toomas Altosaar, Lou Boves, A. Corns:
Do multiple caregivers speed up language acquisition? INTERSPEECH 2009: 704-707 - [c8]Okko Johannes Räsänen, Unto K. Laine, Toomas Altosaar:
Self-learning vector quantization for pattern discovery from speech. INTERSPEECH 2009: 852-855 - [c7]Guillaume Aimetti, Roger K. Moore, Louis ten Bosch, Okko Johannes Räsänen, Unto Kalervo Laine:
Discovering keywords from cross-modal input: ecological vs. engineering methods for enhancing acoustic repetitions. INTERSPEECH 2009: 1171-1174 - [c6]Okko Johannes Räsänen, Unto Kalervo Laine, Toomas Altosaar:
An improved speech segmentation quality measure: the r-value. INTERSPEECH 2009: 1851-1854 - [c5]Okko Johannes Räsänen, Unto Kalervo Laine, Toomas Altosaar:
A noise robust method for pattern discovery in quantized time series: the concept matrix approach. INTERSPEECH 2009: 3035-3038 - [c4]Unto K. Laine, Okko Johannes Räsänen:
Indirect estimation of formant frequencies through mean spectral variance with application to automatic gender recognition. MAVEBA 2009: 111-114 - [c3]Okko Johannes Räsänen, Joris Driesen:
A comparison and combination of segmental and fixed-frame signal representations in NMF-based word recognition. NODALIDA 2009: 255-262 - [c2]Louis ten Bosch, Lou Boves, Okko Räsänen:
Learning meaningful units from multimodal input - the effect of interaction strategies. WOCCI 2009: 17-21 - 2008
- [c1]Okko Johannes Räsänen, Unto K. Laine, Toomas Altosaar:
Computational language acquisition by statistical bottom-up processing. INTERSPEECH 2008: 1980-1983
Coauthor Index
Unto K. Laine
aka: Unto Kalervo Laine
aka: Unto Kalervo Laine
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