Okko Räsänen

Okko Räsänen is a Professor at the Department of Computing Sciences, Faculty of Information Technology and Communication Sciences, Tampere University. His research focuses on speech processing, machine learning, and computational models of child language development. He leads projects involving wearable sensor technology for tracking infant motor development and analyzing audiovisual data in naturalistic environments.

Key research areas include automatic transcription of child-centered recordings, affective speech analysis, and zero-resource speech processing. He has contributed to tools like ALICE for automated language environment measurements and Meta-analysis frameworks for computational models. His work bridges signal processing, artificial intelligence, and developmental science, with applications in clinical speech assessment and educational technology.

Recent studies explore the reliability of acoustic metrics in longitudinal recordings, the impact of audio quality in child-directed speech research, and the integration of multimodal data for speech emotion recognition. His interdisciplinary approach addresses challenges in natural language acquisition, wearable health monitoring, and cross-lingual generalization of speech models.