20 citations · 74 across the 21 of their papers we have counts for
7 papers · 1 filter
Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channel
Kevin Eloff, Okko Räsänen, Herman A. Engelbrecht +2
Multi-agent reinforcement learning has been used as an effective means to study emergent communication between agents, yet little focus has been given to continuous acoustic commun…
Unsupervised Audio-Caption Aligning Learns Correspondences between Individual Sound Events and Textual Phrases
Huang Xie, Okko Räsänen, Konstantinos Drossos +1
We investigate unsupervised learning of correspondences between sound events and textual phrases through aligning audio clips with textual captions describing the content of a whol…
Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? -- A computational investigation
Khazar Khorrami, Okko Räsänen
Decades of research has studied how language learning infants learn to discriminate speech sounds, segment words, and associate words with their meanings. While gradual development…
Language-Independent Approach for Automatic Computation of Vowel Articulation Features in Dysarthric Speech Assessment
Yuanyuan Liu, Nelly Penttilä, Tiina Ihalainen +3
Imprecise vowel articulation can be observed in people with Parkinson's disease (PD). Acoustic features measuring vowel articulation have been demonstrated to be effective indicato…
Evaluation of Audio-Visual Alignments in Visually Grounded Speech Models
Khazar Khorrami, Okko Räsänen
Systems that can find correspondences between multiple modalities, such as between speech and images, have great potential to solve different recognition and data analysis tasks in…
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
Infant motility assessment using intelligent wearables is a promising new approach for assessment of infant neurophysiological development, and where efficient signal analysis play…
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 +1
Researchers have recently started to study how the emotional speech heard by young infants can affect their developmental outcomes. As a part of this research, hundreds of hours of…