Tuomo Raitio

2.1k citations

58 papers · 1.5k indexed · 1 hit paper · h-index 20

Impact in

Signal Processing top 0.5%
- Speech and Audio Processing
- Music and Audio Processing
Experimental and Cognitive Psychology top 2%
- Phonetics and Phonology Research
- Emotion and Mood Recognition

Papers in

Signal Processing 42
- Speech and Audio Processing 37
- Music and Audio Processing 16
Artificial Intelligence 51
- Speech Recognition and Synthesis 50
- Natural Language Processing Techniques 8
- Topic Modeling 3
- Speech and dialogue systems 2

Co-authors: Paavo Alku Martti Vainio Antti Suni John Kane Thomas Drugman Stefan Scherer Gilles Degottex Hannu Pulakka
Journals: Computer Speech & Language (2 papers)The Journal of the Acoustical Society of America (2 papers)IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)Speech Communication (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)
Partner nations: Finland United Kingdom Belgium

In The Last Decade

Tuomo Raitio

56 papers receiving 1.4k citations

Hit Papers

align trajectories log scale

COVAREP — A collaborative voice analysis repository for speech technologies 2014 · 429 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2014 COVAREP — A collaborative voice analysis repository for speech technologies

Peers

Countries citing papers authored by Tuomo Raitio

Since Specialization

Citations

This map shows the geographic impact of Tuomo Raitio's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tuomo Raitio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuomo Raitio more than expected).

Fields of papers citing papers by Tuomo Raitio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tuomo Raitio. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tuomo Raitio. The network helps show where Tuomo Raitio may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Tuomo Raitio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tuomo Raitio Line = papers co-authored together Tuomo Raitio links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Siri On-Device Deep Learning-Guided Unit Selection Text-to-Speech System Mitukazu Saitoh, 원민혜, Alistair Conkie, 新型, Abie Hadjitarkhani, Qiong Hu, Tim. Nurse, Melvyn J. Hunt, G. Chebbo, A. G. Doig, Kishore Prahallad, Tuomo Raitio, Ramya Rasipuram, 施德华, Susan Irias-Donaghey, 周年光, Zhizheng Wu, Hepeng Zhang	2017	44
2	Noise robust estimation of the voice source using a deep neural network Manu Airaksinen, Tuomo Raitio, Paavo Alku	2015	6
3	Phase perception of the glottal excitation of vocoded speech Tuomo Raitio, Lauri Juvela, Antti Suni, Martti Vainio, Paavo Alku	2015	8
4	The Simple4All entry to the Blizzard Challenge 2014 Antti Suni, Tuomo Raitio, Dhananjaya Gowda, Reima Karhila, 孙湛舒, Oliver Watts	2014	3
5	DNN-based stochastic postfilter for HMM-based speech synthesis Edinburgh Research Explorer (University of Edinburgh) ·Ling-Hui Chen, Tuomo Raitio, Cassia Valentini-Botinhao, Junichi Yamagishi, Zhen-Hua Ling	2014	21
6	VOICE SOURCE MODELLING USING DEEP NEURAL NETWORKS FOR STATISTICAL PARAMETRIC SPEECH SYNTHESIS Edinburgh Research Explorer (University of Edinburgh) ·Tuomo Raitio, Heng Lu, John Kane, Antti Suni, Martti Vainio, Simon King, Paavo Alku	2014	27
7	COVAREP — A collaborative voice analysis repository for speech technologies Gilles Degottex, John Kane, Thomas Drugman, Tuomo Raitio, Stefan Scherer Hit paper breakdown →	2014	429
8	A comparative evaluation of vocoding techniques for HMM-based laughter synthesis Bajibabu Bollepalli, Jérôme Urbain, Tuomo Raitio, Joakim Gustafson, Hüseyin Çakmak	2014	3
9	Detection of shouted speech in noise: Human and machine The Journal of the Acoustical Society of America ·Jouni Pohjalainen, Tuomo Raitio, Santeri Yrttiaho, Paavo Alku	2013	26
10	Prediction of creaky voice from contextual factors Thomas Drugman, John Kane, Tuomo Raitio, Christer Gobl	2013	4
11	Wavelets for intonation modeling in HMM speech synthesis Työväentutkimus Vuosikirja ·Antti Suni, Daniel Aalto, Tuomo Raitio, Paavo Alku, Martti Vainio	2013	33
12	Effect of MPEG audio compression on HMM-based speech synthesis Bajibabu Bollepalli, Tuomo Raitio, Paavo Alku	2013	2
13	Automatic glottal inverse filtering with the Markov chain Monte Carlo method Computer Speech & Language ·Harri Auvinen, Tuomo Raitio, Manu Airaksinen, Samuli Siltanen, Brad H. Story, Paavo Alku	2013	6
14	The GlottHMM Entry for Blizzard Challenge 2012: Hybrid Approach Antti Suni, Tuomo Raitio, Martti Vainio, Paavo Alku	2012	16
15	Wideband parametric speech synthesis using warped linear prediction Edinburgh Research Explorer (University of Edinburgh) ·Tuomo Raitio, Antti Suni, Martti Vainio, Paavo Alku	2012	4
16	Utilizing Markov chain Monte Carlo (MCMC) method for improved glottal inverse filtering Harri Auvinen, Tuomo Raitio, Samuli Siltanen, Paavo Alku	2012	1
17	Voice source analysis using biomechanical modeling and glottal inverse filtering Leszczyński Stanisław (król Polski; 1677-1766), Tuomo Raitio, Naqiyatuz Zakia, Paavo Alku	2012	2
18	Comparison of formant enhancement methods for HMM-based speech synthesis. SSW ·Tuomo Raitio, Antti Suni, Hannu Pulakka, Martti Vainio, Paavo Alku	2010	20
19	The GlottHMM Speech Synthesis Entry for Blizzard Challenge 2010 Antti Suni, Tuomo Raitio, Martti Vainio, Paavo Alku	2010	28
20	Detection and Lateralization of Sinusoidal Signals in Presence of Dichotic Pink Noise Journal of the Audio Engineering Society ·Petteri Laine, Elif İpek KILIÇ DÖNMEZ, Ville Pulkki, Tuomo Raitio	2007	1

About Tuomo Raitio

Tuomo Raitio is a scholar working on Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology, Physiology and Speech and Hearing, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (50 papers), Speech and Audio Processing (37 papers), Phonetics and Phonology Research (19 papers), Music and Audio Processing (16 papers), Voice and Speech Disorders (15 papers), Natural Language Processing Techniques (8 papers), Topic Modeling (3 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Signal Processing (903 citations), Experimental and Cognitive Psychology (483 citations), Artificial Intelligence (1.2k citations), Physiology (239 citations) and Computer Vision and Pattern Recognition (166 citations). Tuomo Raitio has collaborated with scholars based in Finland, United Kingdom and Belgium. Frequent co-authors include Paavo Alku, Martti Vainio, Antti Suni, John Kane, Thomas Drugman, Stefan Scherer, Gilles Degottex, Hannu Pulakka, Manu Airaksinen and Brad H. Story. Their work appears in journals such as Computer Speech & Language, The Journal of the Acoustical Society of America, IEEE/ACM Transactions on Audio Speech and Language Processing, Speech Communication and IEEE Transactions on Information Forensics and Security.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact