H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 50 Citations 8,024 286 World Ranking 2817 National Ranking 20

Research.com Recognitions

Awards & Achievements

2020 - IEEE Fellow For contributions to analysis, synthesis and quality improvement of speech signals

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Speech recognition

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 most cited work include:

  • Language-specific phoneme representations revealed by electric and magnetic brain responses (1009 citations)
  • Language-specific phoneme representations revealed by electric and magnetic brain responses (1009 citations)
  • Glottal wave analysis with Pitch Synchronous Iterative Adaptive Inverse Filtering (361 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Speech recognition (58.85%)
  • Audiology (20.35%)
  • Speech processing (17.48%)

What were the highlights of his more recent work (between 2015-2021)?

  • Speech recognition (58.85%)
  • Speech synthesis (10.40%)
  • Vocal tract (12.17%)

In recent papers he was focusing on the following fields of 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.

Between 2015 and 2021, his most popular works were:

  • Non-parallel voice conversion using i-vector PLDA: towards unifying speaker verification and transformation (46 citations)
  • Speaker-independent raw waveform model for glottal excitation (34 citations)
  • Generative adversarial network-based glottal waveform model for statistical parametric speech synthesis (27 citations)

In his most recent research, the most cited papers focused on:

  • Speech recognition
  • Statistics
  • Artificial intelligence

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

Risto Näätänen;Anne Lehtokoski;Mietta Lennes;Marie Cheour.
Nature (1997)

1423 Citations

Glottal wave analysis with Pitch Synchronous Iterative Adaptive Inverse Filtering

Paavo Alku.
conference of the international speech communication association (1992)

566 Citations

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)

426 Citations

Brain responses reveal the learning of foreign language phonemes.

Istvańn Winkler;Teija Kujala;Hannu Tiitinen;Päivi Sivonen.
Psychophysiology (1999)

416 Citations

Normalized amplitude quotient for parametrization of the glottal flow

Paavo Alku;Tom Bäckström;Erkki Vilkman.
Journal of the Acoustical Society of America (2002)

362 Citations

Memory traces for words as revealed by the mismatch negativity.

Friedemann Pulvermüller;Teija Kujala;Yury Shtyrov;Jaana Simola.
NeuroImage (2001)

322 Citations

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)

298 Citations

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)

268 Citations

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

Tuomas Teinonen;Tuomas Teinonen;Richard N Aslin;Paavo Alku;Gergely Csibra.
Cognition (2008)

266 Citations

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)

263 Citations

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Best Scientists Citing Paavo Alku

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Hungarian Academy of Sciences

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