Okko Johannes Räsänen

Sabine Van Huffel, Maarten De Vos, Okko Johannes Räsänen, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Analyzing distributional learning of phonemic categories in unsupervised deep neural networks

Okko Johannes Räsänen, Tasha Nagamine, Nima Mesgarani, 2016, CogSci.

Non-auditory cognitive capabilities in computational modeling of early language acquisition

Okko Johannes Räsänen, 2012, INTERSPEECH.

Method for Speech Inversion with Large Scale Statistical Evaluation

Unto K. Laine, Toomas Altosaar, Okko Johannes Räsänen, 2011, INTERSPEECH.

Analyzing the Contribution of Top-Down Lexical and Bottom-Up Acoustic Cues in the Detection of Sentence Prominence

Lyan Verwimp, Joris Pelemans, Patrick Wambacq, 2016, INTERSPEECH.

3PRO - An unsupervised method for the automatic detection of sentence prominence in speech

Okko Johannes Räsänen, Sofoklis Kakouros, O. Räsänen, 2016, Speech Commun..

Weakly-supervised word learning is improved by an active online algorithm

Okko Johannes Räsänen, Heikki Rasilo, O. Räsänen, 2015, INTERSPEECH.

Evaluation of Spectral Tilt Measures for Sentence Prominence Under Different Noise Conditions

Paavo Alku, Okko Johannes Räsänen, Sofoklis Kakouros, 2017, INTERSPEECH.

Perception of Sentence Stress in Speech Correlates With the Temporal Unpredictability of Prosodic Features

Okko Johannes Räsänen, Sofoklis Kakouros, O. Räsänen, 2016, Cogn. Sci..

Analyzing the Predictability of Lexeme-specific Prosodic Features as a Cue to Sentence Prominence

Okko Johannes Räsänen, Sofoklis Kakouros, O. Räsänen, 2015, CogSci.

Random subset feature selection in automatic recognition of developmental disorders, affective states, and level of conflict from speech

Okko Johannes Räsänen, Jouni Pohjalainen, O. Räsänen, 2013, INTERSPEECH.

Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors

Okko Johannes Räsänen, Sampsa Vanhatalo, Nico Kaartinen, 2020, Scientific Reports.

Analysis of Predictive Coding Models for Phonemic Representation Learning in Small Datasets pdf

Okko Johannes Räsänen, María Andrea Cruz Blandón, O. Räsänen, 2020, ArXiv.

Hierarchical unsupervised discovery of user context from multivariate sensory data

Okko Johannes Räsänen, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech

Okko Johannes Räsänen, Shreyas Seshadri, 2019, IEEE Signal Processing Letters.

Statistical Learning of Prosodic Patterns and Reversal of Perceptual Cues for Sentence Prominence

Okko Johannes Räsänen, Sofoklis Kakouros, O. Räsänen, 2016, CogSci.

Automatic detection of sentence prominence in speech using predictability of word-level acoustic features

Okko Johannes Räsänen, Sofoklis Kakouros, O. Räsänen, 2015, INTERSPEECH.

Indirect estimation of formant frequencies through mean spectral variance with application to automatic gender recognition

Unto K. Laine, Okko Johannes Räsänen, 2009, MAVEBA.

A method for noise-robust context-aware pattern discovery and recognition from categorical sequences

Unto K. Laine, Okko Johannes Räsänen, O. Räsänen, 2012, Pattern Recognit..

Generating Hyperdimensional Distributed Representations from Continuous-Valued Multivariate Sensory Input

Okko Johannes Räsänen, O. Räsänen, 2015, CogSci.

Comparison of Syllabification Algorithms and Training Strategies for Robust Word Count Estimation across Different Languages and Recording Conditions

Okko Johannes Räsänen, Marisa Casillas, Shreyas Seshadri, 2018, INTERSPEECH.

Discovering keywords from cross-modal input: ecological vs. engineering methods for enhancing acoustic repetitions

Unto K. Laine, Louis ten Bosch, Okko Johannes Räsänen, 2009, INTERSPEECH.

Acoustic analysis supports the existence of a single distributional learning mechanism in structural rule learning from an artificial language

Okko Johannes Räsänen, Heikki Rasilo, O. Räsänen, 2012, CogSci.

A comparison and combination of segmental and fixed-frame signal representations in NMF-based word recognition

Okko Johannes Räsänen, Joris Driesen, 2009, NODALIDA.

Comparison of Non-Parametric Bayesian Mixture Models for Syllable Clustering and Zero-Resource Speech Processing

Okko Johannes Räsänen, Ulpu Remes, Shreyas Seshadri, 2017, INTERSPEECH.

Fully unsupervised word learning from continuous speech using transitional probabilities of atomic acoustic events

Okko Johannes Räsänen, 2010, INTERSPEECH.

Comparison of End-to-End Neural Network Architectures and Data Augmentation Methods for Automatic Infant Motility Assessment Using Wearable Sensors pdf

Okko Johannes Räsänen, Sampsa Vanhatalo, Manu Airaksinen, 2021, Sensors.

Zero-Shot Audio Classification with Factored Linear and Nonlinear Acoustic-Semantic Projections

Okko Johannes Räsänen, Tuomas Virtanen, Huang Xie, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channel pdf

Okko Johannes Räsänen, Herman Arnold Engelbrecht, Arnu Pretorius, 2021, ArXiv.

Evaluation of Audio-Visual Alignments in Visually Grounded Speech Models pdf

Okko Johannes Räsänen, Khazar Khorrami, O. Räsänen, 2021, Interspeech.

Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit pdf

Okko Johannes Räsänen, Konstantinos Drossos, Einari Vaaras, 2021, Interspeech.

Perception of sentence stress in English infant directed speech

Okko Johannes Räsänen, Sofoklis Kakouros, O. Räsänen, 2014, INTERSPEECH.