Alku, Paavo

Language-specific phoneme representations revealed by electric and magnetic brain responses

Näätänen, R., Lehtokoski, A., Lennes, M., Cheour, M., Huotilainen, M., Iivonen, A., Vainio, M., Alku, P., Ilmoniemi, R. J., Luuk, A., et al. (1997) · Nature

Neurobiology of Language and BilingualismNeuroscience and Music Perception

Cited by 1,260

ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech

Wang, X., Yamagishi, J., Todisco, M., Delgado, H., Nautsch, A., Evans, N., Sahidullah, M., Vestman, V., Kinnunen, T., Lee, K. A., et al. (2020) · Computer Speech & Language

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 505

Speech-sound-selective auditory impairment in children with autism: They can perceive but do not attend

Čeponienė, R., Lepistö, T., Shestakova, A., Vanhala, R., Alku, P., Näätänen, R., & Yaguchi, K. (2003) · Proceedings of the National Academy of Sciences

Autism Spectrum Disorder ResearchNeuroscience and Music Perception

Cited by 394

Statistical language learning in neonates revealed by event-related brain potentials

Teinonen, T., Fellman, V., Näätänen, R., Alku, P., & Huotilainen, M. (2009) · BMC Neuroscience

Language Development and DisordersPhonetics and Phonology Research

Cited by 319

Visual speech contributes to phonetic learning in 6-month-old infants

Teinonen, T., Aslin, R. N., Alku, P., & Csibra, G. (2008) · Cognition

Phonetics and Phonology ResearchMultisensory perception and integration

Cited by 287

Normalized amplitude quotient for parametrization of the glottal flow.

Alku, P., Bäckström, T., & Vilkman, E. (2002) · The Journal of the Acoustical Society of America

Phonetics and Phonology ResearchVoice and Speech Disorders

Cited by 287

The role of blind humans’ visual cortex in auditory change detection

Kujala, T., Palva, M. J., Salonen, O., Alku, P., Huotilainen, M., Järvinen, A., & Näätänen, R. (2005) · Neuroscience Letters

Tactile and Sensory InteractionsMultisensory perception and integration

Cited by 79

A comparison of glottal voice source quantification parameters in breathy, normal and pressed phonation of female and male speakers.

Alku, P., & Vilkman, E. (2009) · Folia Phoniatrica et Logopaedica

Voice and Speech DisordersPhonetics and Phonology Research

Cited by 79

Pre-trained models for detection and severity level classification of dysarthria from speech

Javanmardi, F., Kadiri, S. R., & Alku, P. (2024) · Speech Communication

Voice and Speech DisordersSpeech Recognition and Synthesis

Cited by 74

Wav2vec-based detection and severity level classification of dysarthria from speech

Javanmardi, F., Tirronen, S., Kodali, M., Kadiri, S. R., & Alku, P. (2023) · ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Voice and Speech DisordersSpeech Recognition and Synthesis

Cited by 53

The Effect of the MFCC Frame Length in Automatic Voice Pathology Detection

Tirronen, S., Kadiri, S. R., & Alku, P. (2024) · Journal of Voice

Voice and Speech DisordersSpeech Recognition and Synthesis

Cited by 45

Automatic classification of the severity level of Parkinson's disease: a comparison of speaking tasks, features, and classifiers

Kodali, M., Kadiri, S. R., & Alku, P. (2024) · Computer Speech & Language

Voice and Speech DisordersArtificial Intelligence in Healthcare

Cited by 24