2020 - IEEE Fellow For contributions to analysis, synthesis and quality improvement of speech signals
Paavo Alku spends much of his time researching Audiology, Mismatch negativity, Speech recognition, Speech perception and Stimulus. His Audiology study combines topics from a wide range of disciplines, such as Developmental psychology, Sound pressure, Communication and Magnetoencephalography. His research in Mismatch negativity intersects with topics in Perception, Cognition, Event-related potential, Lateralization of brain function and Vowel.
His work carried out in the field of Lateralization of brain function brings together such families of science as Memoria, Laterality, Engram and Estonian. His Speech recognition study incorporates themes from Inverse, Phonation and Phonetics. His work focuses on many connections between Stimulus and other disciplines, such as Auditory cortex, that overlap with his field of interest in Sensory system and Auditory Physiology.
His primary areas of study are Speech recognition, Audiology, Speech processing, Acoustics and Linear prediction. The concepts of his Speech recognition study are interwoven with issues in Inverse and Mel-frequency cepstrum. His studies in Audiology integrate themes in fields like Mismatch negativity, Magnetoencephalography, Speech perception and Vowel.
Paavo Alku has included themes like Stimulus and Lateralization of brain function in his Magnetoencephalography study. Paavo Alku has researched Acoustics in several fields, including Glottal flow, Waveform and Phonation. Paavo Alku has included themes like Formant, Filter, Artificial intelligence and Pattern recognition in his Linear prediction study.
His main research concerns Speech recognition, Speech synthesis, Vocal tract, Artificial neural network and Mel-frequency cepstrum. His biological study spans a wide range of topics, including Waveform and Parametric statistics. His Speech synthesis research is multidisciplinary, incorporating perspectives in Quality, Context, Recurrent neural network and Spectral envelope.
His Mel-frequency cepstrum study combines topics in areas such as Vocal folds, Fundamental frequency, Phonation and Support vector machine. The Phonation study which covers Vowel that intersects with Flow, Mismatch negativity, Event-related potential, Audiology and Acoustics. The concepts of his Linear prediction study are interwoven with issues in Filter, Speech processing, Linear predictive coding, Formant and Noise.
Paavo Alku mostly deals with Speech recognition, Speech synthesis, Parametric statistics, Artificial neural network and Feature extraction. Paavo Alku works in the field of Speech recognition, focusing on Vocal tract in particular. Paavo Alku combines subjects such as Quality and Database, Database design with his study of Speech synthesis.
His Feature extraction study integrates concerns from other disciplines, such as Speaker recognition, Vocal effort and Support vector machine. His work in Speaker recognition tackles topics such as Linear prediction which are related to areas like Linear predictive coding and Speech processing. The Speech processing study combines topics in areas such as Event-related potential, Speech discrimination, Speech perception and Consonant, Vowel.
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Language-specific phoneme representations revealed by electric and magnetic brain responses
Risto Näätänen;Anne Lehtokoski;Mietta Lennes;Marie Cheour.
Glottal wave analysis with Pitch Synchronous Iterative Adaptive Inverse Filtering
conference of the international speech communication association (1992)
Speech-sound-selective auditory impairment in children with autism: they can perceive but do not attend
Rita Ceponiene;Tuulia Lepistö;Anna Shestakova;Raija Vanhala.
Proceedings of the National Academy of Sciences of the United States of America (2003)
Brain responses reveal the learning of foreign language phonemes.
Istvańn Winkler;Teija Kujala;Hannu Tiitinen;Päivi Sivonen.
Normalized amplitude quotient for parametrization of the glottal flow
Paavo Alku;Tom Bäckström;Erkki Vilkman.
Journal of the Acoustical Society of America (2002)
Memory traces for words as revealed by the mismatch negativity.
Friedemann Pulvermüller;Teija Kujala;Yury Shtyrov;Jaana Simola.
The discrimination of and orienting to speech and non-speech sounds in children with autism.
Tuulia Lepistö;Teija Kujala;Raija Vanhala;Paavo Alku.
Brain Research (2005)
HMM-Based Speech Synthesis Utilizing Glottal Inverse Filtering
T Raitio;A Suni;J Yamagishi;H Pulakka.
IEEE Transactions on Audio, Speech, and Language Processing (2011)
Visual speech contributes to phonetic learning in 6-month-old infants
Tuomas Teinonen;Tuomas Teinonen;Richard N Aslin;Paavo Alku;Gergely Csibra.
Statistical language learning in neonates revealed by event-related brain potentials
Tuomas Teinonen;Tuomas Teinonen;Vineta Fellman;Vineta Fellman;Risto Näätänen;Risto Näätänen;Risto Näätänen;Paavo Alku.
BMC Neuroscience (2009)
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