Improving short-time speech frame recognition results by using context. - Kari Torkkola; Mikko Kokkonen; Mikko Kurimo; Pekka Utela (EUROSPEECH, 1991)

Application of self-organizing maps and LVQ in training continuous density hidden Markov models for phonemes. - Mikko Kurimo; Kari Torkkola (ICSLP, 1992)

Using LVQ to enhance semi-continuous hidden Markov models for phonemes. - Mikko Kurimo (EUROSPEECH, 1993)

Segmental LVQ3 training for phoneme-wise tied mixture density HMMS. - Mikko Kurimo (EUSIPCO, 1996)

Using the self-organizing map to speed up the probability density estimation for speech recognition with mixture density HMMs. - Mikko Kurimo; Panu Somervuo (ICSLP, 1996)

Comparison results for segmental training algorithms for mixture density HMMs. - Mikko Kurimo (EUROSPEECH, 1997)

Training mixture density HMMs with SOM and LVQ. - Mikko Kurimo (Comput. Speech Lang., 1997)

Self-organization in mixture densities of HMM based speech recognition. - Mikko Kurimo (ESANN, 1998)

Improving vocabulary independent HMM decoding results by using the dynamically expanding context. - Mikko Kurimo (ICASSP, 1998)

Indexing spoken audio by LSA and SOMS. - Mikko Kurimo (EUSIPCO, 2000)

Fast latent semantic indexing of spoken documents by using self-organizing maps. - Mikko Kurimo (ICASSP, 2000)

Large vocabulary statistical language modeling for continuous speech recognition in finnish. - Vesa Siivola; Mikko Kurimo; Krista Lagus (INTERSPEECH, 2001)

An Efficiently Focusing Large Vocabulary Language Model. - Mikko Kurimo; Krista Lagus (ICANN, 2002)

Language model adaptation in speech recognition using document maps. - Krista Lagus; Mikko Kurimo (NNSP, 2002)

Thematic indexing of spoken documents by using self-organizing maps. - Mikko Kurimo (Speech Commun., 2002)

On lexicon creation for turkish LVCSR. - Kadri Hacioglu; Bryan L. Pellom; Tolga Çiloglu; Özlem Öztürk; Mikko Kurimo; Mathias Creutz (INTERSPEECH, 2003)

Unlimited vocabulary speech recognition based on morphs discovered in an unsupervised manner. - Vesa Siivola; Teemu Hirsimäki; Mathias Creutz; Mikko Kurimo (INTERSPEECH, 2003)

Language modeling structures in audio transcription for retrieval of historical speeches. - Mikko Kurimo; Bowen Zhou; Rongqing Huang; John H. L. Hansen (EUSIPCO, 2004)

An evaluation of a spoken document retrieval baseline system in finish. - Mikko Kurimo; Ville T. Turunen; Inger Ekman (INTERSPEECH, 2004)

Duration modeling techniques for continuous speech recognition. - Janne Pylkkönen; Mikko Kurimo (INTERSPEECH, 2004)

Speech Transcription and Spoken Document Retrieval in Finnish. - Mikko Kurimo; Ville T. Turunen; Inger Ekman (MLMI, 2004)

Methods for combining language models in speech recognition. - Simo Broman; Mikko Kurimo (INTERSPEECH, 2005)

To recover from speech recognition errors in spoken document retrieval. - Mikko Kurimo; Ville T. Turunen (INTERSPEECH, 2005)

SpeechFind: Advances in Spoken Document Retrieval for a National Gallery of the Spoken Word. - John H. L. Hansen; Rongqing Huang; Bowen Zhou; Michael S. Seadle; John R. Deller Jr.; Aparna Gurijala; Mikko Kurimo; Pongtep Angkititrakul (IEEE Trans. Speech Audio Process., 2005)

Unsupervised segmentation of words into morphemes - morpho challenge 2005 application to automatic speech recognition. - Mikko Kurimo; Mathias Creutz; Matti Varjokallio; Ebru Arisoy; Murat Saraclar (INTERSPEECH, 2006)

Using latent semantic indexing for morph-based spoken document retrieval. - Ville T. Turunen; Mikko Kurimo (INTERSPEECH, 2006)

Compact n-gram models by incremental growing and clustering of histories. - Sami Virpioja; Mikko Kurimo (INTERSPEECH, 2006)

Unlimited vocabulary speech recognition for agglutinative languages. - Mikko Kurimo; Antti Puurula; Ebru Arisoy; Vesa Siivola; Teemu Hirsimäki; Janne Pylkkönen; Tanel Alumäe; Murat Saraclar (HLT-NAACL, 2006)

Unlimited vocabulary speech recognition with morph language models applied to Finnish. - Teemu Hirsimäki; Mathias Creutz; Vesa Siivola; Mikko Kurimo; Sami Virpioja; Janne Pylkkönen (Comput. Speech Lang., 2006)

Vocabulary Decomposition for Estonian Open Vocabulary Speech Recognition. - Antti Puurula; Mikko Kurimo (ACL, 2007)

Overview of Morpho Challenge in CLEF 2007. - Mikko Kurimo; Mathias Creutz; Ville T. Turunen (CLEF (Working Notes), 2007)

Unsupervised Morpheme Analysis Evaluation by IR experiments - Morpho Challenge 2007. - Mikko Kurimo; Mathias Creutz; Ville T. Turunen (CLEF (Working Notes), 2007)

Morpho Challenge Evaluation Using a Linguistic Gold Standard. - Mikko Kurimo; Mathias Creutz; Matti Varjokallio (CLEF, 2007)

Unsupervised Morpheme Analysis Evaluation by a Comparison to a Linguistic Gold Standard - Morpho Challenge 2007. - Mikko Kurimo; Mathias Creutz; Matti Varjokallio (CLEF (Working Notes), 2007)

Segregation of Speakers for Speaker Adaptation in TV News Audio. - Ulpu Remes; Janne Pylkkönen; Mikko Kurimo (ICASSP (4), 2007)

Morfessor and variKN machine learning tools for speech and language technology. - Vesa Siivola; Mathias Creutz; Mikko Kurimo (INTERSPEECH, 2007)

Comparison of subspace methods for Gaussian mixture models in speech recognition. - Matti Varjokallio; Mikko Kurimo (INTERSPEECH, 2007)

Analysis of Morph-Based Speech Recognition and the Modeling of Out-of-Vocabulary Words Across Languages. - Mathias Creutz; Teemu Hirsimäki; Mikko Kurimo; Antti Puurula; Janne Pylkkönen; Vesa Siivola; Matti Varjokallio; Ebru Arisoy; Murat Saraclar; Andreas Stolcke (HLT-NAACL, 2007)

Indexing confusion networks for morph-based spoken document retrieval. - Ville T. Turunen; Mikko Kurimo (SIGIR, 2007)

Morph-based speech recognition and modeling of out-of-vocabulary words across languages. - Mathias Creutz; Teemu Hirsimäki; Mikko Kurimo; Antti Puurula; Janne Pylkkönen; Vesa Siivola; Matti Varjokallio; Ebru Arisoy; Murat Saraclar; Andreas Stolcke (ACM Trans. Speech Lang. Process., 2007)

Morpho Challenge Evaluation by Information Retrieval Experiments. - Mikko Kurimo; Mathias Creutz; Ville T. Turunen (CLEF, 2008)

Unsupervised Morpheme Analysis Evaluation by IR experiments - Morpho Challenge 2008. - Mikko Kurimo; Ville T. Turunen (CLEF (Working Notes), 2008)

Overview of Morpho Challenge 2008. - Mikko Kurimo; Ville T. Turunen; Matti Varjokallio (CLEF, 2008)

Unsupervised Morpheme Analysis Evaluation by a Comparison to a Linguistic Gold Standard - Morpho Challenge 2008. - Mikko Kurimo; Matti Varjokallio (CLEF (Working Notes), 2008)

Missing feature reconstruction and acoustic model adaptation combined for large vocabulary continuous speech recognition. - Ulpu Remes; Kalle J. Palomäki; Mikko Kurimo (EUSIPCO, 2008)

Speech to speech machine translation: Biblical chatter from Finnish to English. - David Ellis; Mathias Creutz; Timo Honkela; Mikko Kurimo (IJCNLP, 2008)

Overview and Results of Morpho Challenge 2009. - Mikko Kurimo; Sami Virpioja; Ville T. Turunen; Graeme W. Blackwood; William Byrne (CLEF (1), 2009)

Robust automatic speech recognition using acoustic model adaptation prior to missing feature reconstruction. - Ulpu Remes; Kalle J. Palomäki; Mikko Kurimo (EUSIPCO, 2009)

Weighted linear prediction for speech analysis in noisy conditions. - Jouni Pohjalainen; Heikki Kallasjoki; Kalle J. Palomäki; Mikko Kurimo; Paavo Alku (INTERSPEECH, 2009)

Thousands of voices for HMM-based speech synthesis. - Junichi Yamagishi; Bela Usabaev; Simon King 001; Oliver Watts; John Dines; Jilei Tian; Rile Hu; Yong Guan; Keiichiro Oura; Keiichi Tokuda; Reima Karhila; Mikko Kurimo (INTERSPEECH, 2009)

Minimum Bayes Risk Combination of Translation Hypotheses from Alternative Morphological Decompositions. - Adrià de Gispert; Sami Virpioja; Mikko Kurimo; William J. Byrne (HLT-NAACL (Short Papers), 2009)

Analysing Recognition Errors in Unlimited-Vocabulary Speech Recognition. - Teemu Hirsimäki; Mikko Kurimo (HLT-NAACL (Short Papers), 2009)

Morpho Challenge - Evaluation of algorithms for unsupervised learning of morphology in various tasks and languages. - Mikko Kurimo; Sami Virpioja; Ville T. Turunen; Teemu Hirsimäki (HLT-NAACL (Demos), 2009)

Importance of High-Order N-Gram Models in Morph-Based Speech Recognition. - Teemu Hirsimäki; Janne Pylkkönen; Mikko Kurimo (IEEE Trans. Speech Audio Process., 2009)

Domain Adaptation of Maximum Entropy Language Models. - Tanel Alumäe; Mikko Kurimo (ACL (2), 2010)

Personalising Speech-To-Speech Translation in the EMIME Project. - Mikko Kurimo; William Byrne; John Dines; Philip N. Garner; Matthew Gibson; Yong Guan; Teemu Hirsimäki; Reima Karhila; Simon King 001; Hui Liang; Keiichiro Oura; Lakshmi Babu Saheer; et al. (ACL (System Demonstrations), 2010)

Comparison of noise robust methods in large vocabulary speech recognition. - Sami Keronen; Ulpu Remes; Kalle J. Palomäki; Tuomas Virtanen; Mikko Kurimo (EUSIPCO, 2010)

Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis using two-pass decision tree construction. - Matthew Gibson; Teemu Hirsimäki; Reima Karhila; Mikko Kurimo; William Byrne (ICASSP, 2010)

Efficient estimation of maximum entropy language models with n-gram features: an SRILM extension. - Tanel Alumäe; Mikko Kurimo (INTERSPEECH, 2010)

Morpho Challenge 2005-2010: Evaluations and Results. - Mikko Kurimo; Sami Virpioja; Ville T. Turunen; Krista Lagus (SIGMORPHON, 2010)

Unsupervised cross-lingual speaker adaptation for accented speech recognition. - Reima Karhila; Mikko Kurimo (SLT, 2010)

Speaker adaptation and the evaluation of speaker similarity in the EMIME speech-to-speech translation project. - Mirjam Wester; John Dines; Matthew Gibson; Hui Liang; Yi-Jian Wu; Lakshmi Babu Saheer; Simon King 001; Keiichiro Oura; Philip N. Garner; William Byrne; Yong Guan; Teemu Hirsimäki; et al. (SSW, 2010)

Applying Morphological Decompositions to Statistical Machine Translation. - Sami Virpioja; Jaakko J. Väyrynen; André Mansikkaniemi; Mikko Kurimo (WMT@ACL, 2010)

Thousands of Voices for HMM-Based Speech Synthesis-Analysis and Application of TTS Systems Built on Various ASR Corpora. - Junichi Yamagishi; Bela Usabaev; Simon King 001; Oliver Watts; John Dines; Jilei Tian; Yong Guan; Rile Hu; Keiichiro Oura; Yi-Jian Wu; Keiichi Tokuda; Reima Karhila; et al. (IEEE Trans. Speech Audio Process., 2010)

Speech bandwidth extension using Gaussian mixture model-based estimation of the highband mel spectrum. - Hannu Pulakka; Ulpu Remes; Kalle J. Palomäki; Mikko Kurimo; Paavo Alku (ICASSP, 2011)

Using stacked transformations for recognizing foreign accented speech. - Peter Smit; Mikko Kurimo (ICASSP, 2011)

Noise Robust Feature Extraction Based on Extended Weighted Linear Prediction in LVCSR. - Sami Keronen; Jouni Pohjalainen; Paavo Alku; Mikko Kurimo (INTERSPEECH, 2011)

Low-Frequency Bandwidth Extension of Telephone Speech Using Sinusoidal Synthesis and Gaussian Mixture Model. - Hannu Pulakka; Ulpu Remes; Santeri Yrttiaho; Kalle J. Palomäki; Mikko Kurimo; Paavo Alku (INTERSPEECH, 2011)

A Study on Combining VTLN and SAT to Improve the Performance of Automatic Speech Recognition. - Doddipatla Rama Sanand; Mikko Kurimo (INTERSPEECH, 2011)

Missing-Feature Reconstruction With a Bounded Nonlinear State-Space Model. - Ulpu Remes; Kalle J. Palomäki; Tapani Raiko; Antti Honkela; Mikko Kurimo (IEEE Signal Process. Lett., 2011)

Empirical Comparison of Evaluation Methods for Unsupervised Learning of Morphology. - Sami Virpioja; Ville T. Turunen; Sebastian Spiegler; Oskar Kohonen; Mikko Kurimo (Trait. Autom. des Langues, 2011)

Speech retrieval from unsegmented finnish audio using statistical morpheme-like units for segmentation, recognition, and retrieval. - Ville T. Turunen; Mikko Kurimo (ACM Trans. Speech Lang. Process., 2011)

An augmented reality interface to contextual information. - Antti Ajanki; Mark Billinghurst; Hannes Gamper; Toni Järvenpää; Melih Kandemir; Samuel Kaski; Markus Koskela; Mikko Kurimo; Jorma Laaksonen; Kai Puolamäki; Teemu Ruokolainen; Timo Tossavainen (Virtual Real., 2011)

Adaptation of Morpheme-based Speech Recognition for Foreign Entity Names. - André Mansikkaniemi; Mikko Kurimo (Baltic HLT, 2012)

Creating synthetic voices for children by adapting adult average voice using stacked transformations and VTLN. - Reima Karhila; Doddipatla Rama Sanand; Mikko Kurimo; Peter Smit (ICASSP, 2012)

Improving Discriminative Training for Robust Acoustic Models in Large Vocabulary Continuous Speech Recognition. - Janne Pylkkönen; Mikko Kurimo (INTERSPEECH, 2012)

Optimization-Based Control for the Extended Baum-Welch Algorithm. - Janne Pylkkönen; Mikko Kurimo (INTERSPEECH, 2012)

Unsupervised Vocabulary Adaptation for Morph-based Language Models. - André Mansikkaniemi; Mikko Kurimo (WLM@NAACL-HLT, 2012)

Bandwidth Extension of Telephone Speech to Low Frequencies Using Sinusoidal Synthesis and a Gaussian Mixture Model. - Hannu Pulakka; Ulpu Remes; Santeri Yrttiaho; Kalle J. Palomäki; Mikko Kurimo; Paavo Alku (IEEE Trans. Speech Audio Process., 2012)

Analysis of Extended Baum-Welch and Constrained Optimization for Discriminative Training of HMMs. - Janne Pylkkönen; Mikko Kurimo (IEEE Trans. Speech Audio Process., 2012)

Learning a subword vocabulary based on unigram likelihood. - Matti Varjokallio; Mikko Kurimo; Sami Virpioja (ASRU, 2013)

Supervised Morphological Segmentation in a Low-Resource Learning Setting using Conditional Random Fields. - Teemu Ruokolainen; Oskar Kohonen; Sami Virpioja; Mikko Kurimo (CoNLL, 2013)

HMM-based speech synthesis adaptation using noisy data: Analysis and evaluation methods. - Reima Karhila; Ulpu Remes; Mikko Kurimo (ICASSP, 2013)

Analysis of breathy, modal and pressed phonation based on low frequency spectral density. - Dhananjaya N. Gowda; Mikko Kurimo (INTERSPEECH, 2013)

Robust formant detection using group delay function and stabilized weighted linear prediction. - Dhananjaya N. Gowda; Jouni Pohjalainen; Mikko Kurimo; Paavo Alku (INTERSPEECH, 2013)

Unsupervised topic adaptation for morph-based speech recognition. - André Mansikkaniemi; Mikko Kurimo (INTERSPEECH, 2013)

Lombard modified text-to-speech synthesis for improved intelligibility: submission for the hurricane challenge 2013. - Antti Suni; Reima Karhila; Tuomo Raitio; Mikko Kurimo; Martti Vainio; Paavo Alku (INTERSPEECH, 2013)

Studies on training text selection for conversational Finnish language modeling. - Seppo Enarvi; Mikko Kurimo (IWSLT, 2013)

Results for Variable Speaker and Recording Conditions on Spoken IR in Finnish. - Ville T. Turunen; Mikko Kurimo; Sami Keronen (SPECOM, 2013)

A novel discriminative method for pruning pronunciation dictionary entries. - Seppo Enarvi; Mikko Kurimo (SpeD, 2013)

Robust spectral representation using group delay function and stabilized weighted linear prediction for additive noise degradations. - Dhananjaya N. Gowda; Jouni Pohjalainen; Paavo Alku; Mikko Kurimo (SpeD, 2013)

Objective evaluation measures for speaker-adaptive HMM-TTS systems. - Ulpu Remes; Reima Karhila; Mikko Kurimo (SSW, 2013)

PicSOM Experiments in TRECVID 2013. - Satoru Ishikawa; Markus Koskela; Mats Sjöberg; Jorma Laaksonen; Erkki Oja; Ehsan Amid; Kalle J. Palomäki; Annamaria Mesaros; Mikko Kurimo (TRECVID, 2013)

Personalising speech-to-speech translation: Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis. - John Dines; Hui Liang; Lakshmi Babu Saheer; Matthew Gibson; William Byrne; Keiichiro Oura; Keiichi Tokuda; Junichi Yamagishi; Simon King 001; Mirjam Wester; Teemu Hirsimäki; Reima Karhila; et al. (Comput. Speech Lang., 2013)

Part-of-Speech Tagging using Conditional Random Fields: Exploiting Sub-Label Dependencies for Improved Accuracy. - Miikka Silfverberg; Teemu Ruokolainen; Krister Lindén; Mikko Kurimo (ACL (2), 2014)

Morfessor FlatCat: An HMM-Based Method for Unsupervised and Semi-Supervised Learning of Morphology. - Stig-Arne Grönroos; Sami Virpioja; Peter Smit; Mikko Kurimo (COLING, 2014)

Painless Semi-Supervised Morphological Segmentation using Conditional Random Fields. - Teemu Ruokolainen; Oskar Kohonen; Sami Virpioja; Mikko Kurimo (EACL, 2014)

Accelerated Estimation of Conditional Random Fields using a Pseudo-Likelihood-inspired Perceptron Variant. - Teemu Ruokolainen; Miikka Silfverberg; Mikko Kurimo; Krister Lindén (EACL, 2014)

Morfessor 2.0: Toolkit for statistical morphological segmentation. - Peter Smit; Sami Virpioja; Stig-Arne Grönroos; Mikko Kurimo (EACL, 2014)

Unsupervised feature extraction for multimedia event detection and ranking using audio content. - Ehsan Amid; Annamaria Mesaros; Kalle J. Palomäki; Jorma Laaksonen; Mikko Kurimo (ICASSP, 2014)

On the role of missing data imputation and NMF feature enhancement in building synthetic voices using reverberant speech. - Dhananjaya N. Gowda; Heikki Kallasjoki; Reima Karhila; Cristian Contan; Kalle J. Palomäki; Mircea Giurgiu; Mikko Kurimo (INTERSPEECH, 2014)

Spectral tilt modelling with GMMs for intelligibility enhancement of narrowband telephone speech. - Emma Jokinen; Ulpu Remes; Marko Takanen; Kalle J. Palomäki; Mikko Kurimo; Paavo Alku (INTERSPEECH, 2014)

Spectral tilt modelling with extrapolated GMMs for intelligibility enhancement of narrowband telephone speech. - Emma Jokinen; Ulpu Remes; Marko Takanen; Kalle J. Palomäki; Mikko Kurimo; Paavo Alku (IWAENC, 2014)

A Toolkit for Efficient Learning of Lexical Units for Speech Recognition. - Matti Varjokallio; Mikko Kurimo (LREC, 2014)

A word-level token-passing decoder for subword n-gram LVCSR. - Matti Varjokallio; Mikko Kurimo (SLT, 2014)

Noise in HMM-Based Speech Synthesis Adaptation: Analysis, Evaluation Methods and Experiments. - Reima Karhila; Ulpu Remes; Mikko Kurimo (IEEE J. Sel. Top. Signal Process., 2014)

Towards Reliable Automatic Multimodal Content Analysis. - Olli Philippe Lautenbacher; Liisa Tiittula; Maija Hirvonen; Jorma Laaksonen; Mikko Kurimo (VL@EMNLP, 2015)

Designing multichannel source separation based on single-channel source separation. - Ana Ramírez López; Nobutaka Ono; Ulpu Remes; Kalle J. Palomäki; Mikko Kurimo (ICASSP, 2015)

Unsupervised and User Feedback Based Lexicon Adaptation for Foreign Names and Acronyms. - André Mansikkaniemi; Mikko Kurimo (SLSP, 2015)

Tuning Phrase-Based Segmented Translation for a Morphologically Complex Target Language. - Stig-Arne Grönroos; Sami Virpioja; Mikko Kurimo (WMT@EMNLP, 2015)

Adaptation of Morph-Based Speech Recognition for Foreign Names and Acronyms. - André Mansikkaniemi; Mikko Kurimo (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Bounded Conditional Mean Imputation with Observation Uncertainties and Acoustic Model Adaptation. - Ulpu Remes; Ana Ramírez López; Kalle J. Palomäki; Mikko Kurimo (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Experiments on Adaptation Methods to Improve Acoustic Modeling for French Speech Recognition. - Saeideh Mirzaei; Pierrick Milhorat; Jérôme Boudy; Gérard Chollet; Mikko Kurimo (ICPRAM, 2016)

TheanoLM - An Extensible Toolkit for Neural Network Language Modeling. - Seppo Enarvi; Mikko Kurimo (INTERSPEECH, 2016)

Recurrent Neural Network Language Model with Incremental Updated Context Information Generated Using Bag-of-Words Representation. - Md. Akmal Haidar; Mikko Kurimo (INTERSPEECH, 2016)

Digitala: An Augmented Test and Review Process Prototype for High-Stakes Spoken Foreign Language Examination. - Reima Karhila; Aku Rouhe; Peter Smit; André Mansikkaniemi; Heini Kallio; Erik Lindroos; Raili Hildén; Martti Vainio; Mikko Kurimo (INTERSPEECH, 2016)

Towards SamiTalk: A Sami-Speaking Robot Linked to Sami Wikipedia. - Graham Wilcock; Niklas Laxström; Juho Leinonen 002; Peter Smit; Mikko Kurimo; Kristiina Jokinen (IWSDS, 2016)

Class n-Gram Models for Very Large Vocabulary Speech Recognition of Finnish and Estonian. - Matti Varjokallio; Mikko Kurimo; Sami Virpioja (SLSP, 2016)

In-Document Adaptation for a Human Guided Automatic Transcription Service. - André Mansikkaniemi; Mikko Kurimo; Krister Lindén (SPECOM, 2016)

Hybrid Morphological Segmentation for Phrase-Based Machine Translation. - Stig-Arne Grönroos; Sami Virpioja; Mikko Kurimo (WMT, 2016)

A Comparative Study of Minimally Supervised Morphological Segmentation. - Teemu Ruokolainen; Oskar Kohonen; Kairit Sirts; Stig-Arne Grönroos; Mikko Kurimo; Sami Virpioja (Comput. Linguistics, 2016)

Comparing human and automatic speech recognition in a perceptual restoration experiment. - Ulpu Remes; Ana Ramírez López; Lauri Juvela; Kalle J. Palomäki; Guy J. Brown; Paavo Alku; Mikko Kurimo (Comput. Speech Lang., 2016)

FinnPos: an open-source morphological tagging and lemmatization toolkit for Finnish. - Miikka Silfverberg; Teemu Ruokolainen; Krister Lindén; Mikko Kurimo (Lang. Resour. Evaluation, 2016)

Character-based units for unlimited vocabulary continuous speech recognition. - Peter Smit; Siva Reddy Gangireddy; Seppo Enarvi; Sami Virpioja; Mikko Kurimo (ASRU, 2017)

Aalto system for the 2017 Arabic multi-genre broadcast challenge. - Peter Smit; Siva Reddy Gangireddy; Seppo Enarvi; Sami Virpioja; Mikko Kurimo (ASRU, 2017)

ASR in Classroom Today: Automatic Visualization of Conceptual Network in Science Classrooms. - Daniela Caballero; Roberto Araya; Hanna Kronholm; Jouni Viiri; André Mansikkaniemi; Sami Lehesvuori; Tuomas Virtanen; Mikko Kurimo (EC-TEL, 2017)

LDA-based context dependent recurrent neural network language model using document-based topic distribution of words. - Md. Akmal Haidar; Mikko Kurimo (ICASSP, 2017)

SIAK - A Game for Foreign Language Pronunciation Learning. - Reima Karhila; Sari Ylinen; Seppo Enarvi; Kalle J. Palomäki; Aleksander Nikulin; Olli Rantula; Vertti Viitanen; Krupakar Dhinakaran; Anna-Riikka Smolander; Heini Kallio; Katja Junttila; Maria Uther; et al. (INTERSPEECH, 2017)

Automatic Construction of the Finnish Parliament Speech Corpus. - André Mansikkaniemi; Peter Smit; Mikko Kurimo (INTERSPEECH, 2017)

Reading Validation for Pronunciation Evaluation in the Digitala Project. - Aku Rouhe; Reima Karhila; Peter Smit; Mikko Kurimo (INTERSPEECH, 2017)

Improved Subword Modeling for WFST-Based Speech Recognition. - Peter Smit; Sami Virpioja; Mikko Kurimo (INTERSPEECH, 2017)

Acoustic Model Compression with MAP adaptation. - Katri Leino; Mikko Kurimo (NODALIDA, 2017)

A pipeline for automatic assessment of foreign language pronunciation. - Aku Rouhe; Reima Karhila; Heini Kallio; Mikko Kurimo (SLaTE, 2017)

Extending hybrid word-character neural machine translation with multi-task learning of morphological analysis. - Stig-Arne Grönroos; Sami Virpioja; Mikko Kurimo (WMT, 2017)

Modeling under-resourced languages for speech recognition. - Mikko Kurimo; Seppo Enarvi; Ottokar Tilk; Matti Varjokallio; André Mansikkaniemi; Tanel Alumäe (Lang. Resour. Evaluation, 2017)

Automatic Speech Recognition With Very Large Conversational Finnish and Estonian Vocabularies. - Seppo Enarvi; Peter Smit; Sami Virpioja; Mikko Kurimo (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

The Aalto system based on fine-tuned AudioSet features for DCASE2018 task2 - general purpose audio tagging. - Zhicun Xu; Peter Smit; Mikko Kurimo (DCASE, 2018)

Captaina: Integrated Pronunciation Practice and Data Collection Portal. - Aku Rouhe; Reima Karhila; Aija Elg; Minnaleena Toivola; Peter Smit; Anna-Riikka Smolander; Mikko Kurimo (INTERSPEECH, 2018)

The MeMAD Submission to the IWSLT 2018 Speech Translation Task. - Umut Sulubacak; Jörg Tiedemann; Aku Rouhe; Stig-Arne Grönroos; Mikko Kurimo (IWSLT, 2018)

First-Pass Techniques for Very Large Vocabulary Speech Recognition ff Morphologically Rich Languages. - Matti Varjokallio; Sami Virpioja; Mikko Kurimo (SLT, 2018)

The MeMAD Submission to the WMT18 Multimodal Translation Task. - Stig-Arne Grönroos; Benoit Huet; Mikko Kurimo; Jorma Laaksonen; Bernard Mérialdo; Phu Pham; Mats Sjöberg; Umut Sulubacak; Jörg Tiedemann; Raphaël Troncy; Raúl Vázquez (WMT (shared task), 2018)

Cognate-aware morphological segmentation for multilingual neural translation. - Stig-Arne Grönroos; Sami Virpioja; Mikko Kurimo (WMT (shared task), 2018)

User Experiences from L2 Children Using a Speech Learning Application: Implications for Developing Speech Training Applications for Children. - Maria Uther; Anna-Riikka Smolander; Katja Junttila; Mikko Kurimo; Reima Karhila; Seppo Enarvi; Sari Ylinen (Adv. Hum. Comput. Interact., 2018)

Spherediar: An Effective Speaker Diarization System for Meeting Data. - Tuomas Kaseva; Aku Rouhe; Mikko Kurimo (ASRU, 2019)

Transparent Pronunciation Scoring Using Articulatorily Weighted Phoneme Edit Distance. - Reima Karhila; Anna-Riikka Smolander; Sari Ylinen; Mikko Kurimo (INTERSPEECH, 2019)

Subword RNNLM Approximations for Out-Of-Vocabulary Keyword Search. - Mittul Singh; Sami Virpioja; Peter Smit; Mikko Kurimo (INTERSPEECH, 2019)

RL-KLM: automating keystroke-level modeling with reinforcement learning. - Katri Leino; Antti Oulasvirta; Mikko Kurimo (IUI, 2019)

Computer-supported form design using keystroke-level modeling with reinforcement learning. - Katri Leino; Kashyap Todi; Antti Oulasvirta; Mikko Kurimo (IUI Companion, 2019)

A user study to compare two conversational assistants designed for people with hearing impairments. - Anja Virkkunen; Juri Lukkarila; Kalle J. Palomäki; Mikko Kurimo (SLPAT@NAACL-HLT, 2019)

Service registration chatbot: collecting and comparing dialogues from AMT workers and service's users. - Luca Molteni; Mittul Singh; Juho Leinonen 002; Katri Leino; Mikko Kurimo; Emanuele Della Valle (W-NUT@EMNLP, 2020)

Study of Formant Modification for Children ASR. - Hemant Kumar Kathania; Sudarsana Reddy Kadiri; Paavo Alku; Mikko Kurimo (ICASSP, 2020)

Speaker-Aware Training of Attention-Based End-to-End Speech Recognition Using Neural Speaker Embeddings. - Aku Rouhe; Tuomas Kaseva; Mikko Kurimo (ICASSP, 2020)

Finnish ASR with Deep Transformer Models. - Abhilash Jain; Aku Rouhe; Stig-Arne Grönroos; Mikko Kurimo (INTERSPEECH, 2020)

Data Augmentation Using Prosody and False Starts to Recognize Non-Native Children's Speech. - Hemant Kumar Kathania; Mittul Singh; Tamás Grósz; Mikko Kurimo (INTERSPEECH, 2020)

FinChat: Corpus and Evaluation Setup for Finnish Chat Conversations on Everyday Topics. - Katri Leino; Juho Leinonen 002; Mittul Singh; Sami Virpioja; Mikko Kurimo (INTERSPEECH, 2020)

Releasing a Toolkit and Comparing the Performance of Language Embeddings Across Various Spoken Language Identification Datasets. - Matias Lindgren; Tommi Jauhiainen; Mikko Kurimo (INTERSPEECH, 2020)

Morfessor EM+Prune: Improved Subword Segmentation with Expectation Maximization and Pruning. - Stig-Arne Grönroos; Sami Virpioja; Mikko Kurimo (LREC, 2020)

Visual Interpretation of DNN-based Acoustic Models using Deep Autoencoders. - Tamás Grósz; Mikko Kurimo (MLVis@Eurographics/EuroVis, 2020)

Named Entity Recognition for Spoken Finnish. - Dejan Porjazovski; Juho Leinonen 002; Mikko Kurimo (AI4TV@MM, 2020)

Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models. - Mittul Singh; Peter Smit; Sami Virpioja; Mikko Kurimo (SLTU-CCURL@LREC, 2020)

Using Fan-Made Content, Subtitles and Face Recognition for Character-Centric Video Summarization. - Ismail Harrando; Alison Reboud; Pasquale Lisena; Raphaël Troncy; Jorma Laaksonen; Anja Virkkunen; Mikko Kurimo (TRECVID, 2020)

Finnish Language Modeling with Deep Transformer Models. - Abhilash Jain; Aku Rouhe; Stig-Arne Grönroos; Mikko Kurimo (CoRR, 2020)

Aalto's End-to-End DNN systems for the INTERSPEECH 2020 Computational Paralinguistics Challenge. - Tamás Grósz; Mittul Singh; Sudarsana Reddy Kadiri; Hemant Kumar Kathania; Mikko Kurimo (CoRR, 2020)

Transfer learning and subword sampling for asymmetric-resource one-to-many neural translation. - Stig-Arne Grönroos; Sami Virpioja; Mikko Kurimo (Mach. Transl., 2020)

Brain activity reflects the predictability of word sequences in listened continuous speech. - Miika Koskinen; Mikko Kurimo; Joachim Gross; Aapo Hyvärinen; Riitta Hari (NeuroImage, 2020)

Vowel Non-Vowel Based Spectral Warping and Time Scale Modification for Improvement in Children's ASR. - Hemant Kumar Kathania; Avinash Kumar; Mikko Kurimo (ICASSP, 2021)

Self-Supervised End-to-End ASR for Low Resource L2 Swedish. - Ragheb Al-Ghezi; Yaroslav Getman; Aku Rouhe; Raili Hildén; Mikko Kurimo (Interspeech, 2021)

Speaker Verification Experiments for Adults and Children Using Shared Embedding Spaces. - Tuomas Kaseva; Hemant Kumar Kathania; Aku Rouhe; Mikko Kurimo (NoDaLiDa, 2021)

Spectral modification for recognition of children's speech undermismatched conditions. - Hemant Kumar Kathania; Sudarsana Reddy Kadiri; Paavo Alku; Mikko Kurimo (NoDaLiDa, 2021)

Grapheme-Based Cross-Language Forced Alignment: Results with Uralic Languages. - Juho Leinonen 002; Sami Virpioja; Mikko Kurimo (NoDaLiDa, 2021)

Synthesis Speech Based Data Augmentation for Low Resource Children ASR. - Virender Kadyan; Hemant Kumar Kathania; Prajjval Govil; Mikko Kurimo (SPECOM, 2021)

An Equal Data Setting for Attention-Based Encoder-Decoder and HMM/DNN Models: A Case Study in Finnish ASR. - Aku Rouhe; Astrid Van Camp; Mittul Singh; Hugo Van hamme; Mikko Kurimo (SPECOM, 2021)

LSTM-XL: Attention Enhanced Long-Term Memory for LSTM Cells. - Tamás Grósz; Mikko Kurimo (TDS, 2021)

Attention-Based End-to-End Named Entity Recognition from Speech. - Dejan Porjazovski; Juho Leinonen 002; Mikko Kurimo (TDS, 2021)

Advances in subword-based HMM-DNN speech recognition across languages. - Peter Smit; Sami Virpioja; Mikko Kurimo (Comput. Speech Lang., 2021)

Morphologically motivated word classes for very large vocabulary speech recognition of Finnish and Estonian. - Matti Varjokallio; Sami Virpioja; Mikko Kurimo (Comput. Speech Lang., 2021)

When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and Its Intensity. - Khalid Alnajjar; Mika Hämäläinen; Jörg Tiedemann; Jorma Laaksonen; Mikko Kurimo (COLING, 2022)

Tracing Signs of Urbanity in the Finnish Fiction Film of the 1950s: Toward a Multimodal Analysis of Audiovisual Data. - Tamás Grósz; Noora Kallioniemi; Harri Kiiskinen; Kimmo Laine; Anssi Moisio; Tommi Römpötti; Anja Virkkunen; Hannu Salmi; Mikko Kurimo; Jorma Laaksonen (DHNB, 2022)

wav2vec2-based Speech Rating System for Children with Speech Sound Disorder. - Yaroslav Getman; Ragheb Al-Ghezi; Katja Voskoboinik; Tamás Grósz; Mikko Kurimo; Giampiero Salvi; Torbjørn Svendsen; Sofia Strömbergsson (INTERSPEECH, 2022)

Comparison and Analysis of New Curriculum Criteria for End-to-End ASR. - Georgios Karakasidis; Tamás Grósz; Mikko Kurimo (INTERSPEECH, 2022)

Low Resource Comparison of Attention-based and Hybrid ASR Exploiting wav2vec 2.0. - Aku Rouhe; Anja Virkkunen; Juho Leinonen 002; Mikko Kurimo (INTERSPEECH, 2022)

Wav2vec2-based Paralinguistic Systems to Recognise Vocalised Emotions and Stuttering. - Tamás Grósz; Dejan Porjazovski; Yaroslav Getman; Sudarsana Reddy Kadiri; Mikko Kurimo (ACM Multimedia, 2022)

Automatic Rating of Spontaneous Speech for Low-Resource Languages. - Ragheb Al-Ghezi; Yaroslav Getman; Ekaterina Voskoboinik; Mittul Singh; Mikko Kurimo (SLT, 2022)

Lahjoita puhetta - a large-scale corpus of spoken Finnish with some benchmarks. - Anssi Moisio; Dejan Porjazovski; Aku Rouhe; Yaroslav Getman; Anja Virkkunen; Tamás Grósz; Krister Lindén; Mikko Kurimo (CoRR, 2022)

Finnish Parliament ASR corpus - Analysis, benchmarks and statistics. - Anja Virkkunen; Aku Rouhe; Nhan Phan; Mikko Kurimo (CoRR, 2022)

End-to-end Ensemble-based Feature Selection for Paralinguistics Tasks. - Tamás Grósz; Mittul Singh; Sudarsana Reddy Kadiri; Hemant Kumar Kathania; Mikko Kurimo (CoRR, 2022)

A formant modification method for improved ASR of children's speech. - Hemant Kumar Kathania; Sudarsana Reddy Kadiri; Paavo Alku; Mikko Kurimo (Speech Commun., 2022)

Data Augmentation Using Spectral Warping for Low Resource Children ASR. - Hemant Kumar Kathania; Virender Kadyan; Sudarsana Reddy Kadiri; Mikko Kurimo (J. Signal Process. Syst., 2022)

Topic Identification for Spontaneous Speech: Enriching Audio Features with Embedded Linguistic Information. - Dejan Porjazovski; Tamás Grósz; Mikko Kurimo (EUSIPCO, 2023)

Investigating wav2vec2 context representations and the effects of fine-tuning, a case-study of a Finnish model. - Tamás Grósz; Yaroslav Getman; Ragheb Al-Ghezi; Aku Rouhe; Mikko Kurimo (INTERSPEECH, 2023)

Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference. - Dejan Porjazovski; Yaroslav Getman; Tamás Grósz; Mikko Kurimo (ACM Multimedia, 2023)

Discovering Relevant Sub-spaces of BERT, Wav2Vec 2.0, ELECTRA and ViT Embeddings for Humor and Mimicked Emotion Recognition with Integrated Gradients. - Tamás Grósz; Anja Virkkunen; Dejan Porjazovski; Mikko Kurimo (MuSe@ACM Multimedia, 2023)

Evaluating Morphological Generalisation in Machine Translation by Distribution-Based Compositionality Assessment. - Anssi Moisio; Mathias Creutz; Mikko Kurimo (NoDaLiDa, 2023)

CaptainA - A mobile app for practising Finnish pronunciation. - Nhan Phan; Tamás Grósz; Mikko Kurimo (NoDaLiDa, 2023)

Multi-task wav2vec2 Serving as a Pronunciation Training System for Children. - Yaroslav Getman; Ragheb Al-Ghezi; Tamás Grósz; Mikko Kurimo (SLaTE, 2023)

A pronunciation Scoring System Embedded into Children's Foreign Language Learning Games with Experimental Verification of Learning Benefits. - Reima Karhila; Sari Ylinen; Anna-Riikka Smolander; Aku Rouhe; Ragheb Al-Ghezi; Yaroslav Getman; Tamás Grósz; Maria Uther; Mikko Kurimo (SLaTE, 2023)

New data, benchmark and baseline for L2 speaking assessment for low-resource languages. - Mikko Kurimo; Yaroslav Getman; Ekaterina Voskoboinik; Ragheb Al-Ghezi; Heini Kallio; Mikko Kuronen; Anna von Zansen; Raili Hildén; Sirkku Kronholm; Ari Huhta; Krister Lindén (SLaTE, 2023)

Effect of Linear Prediction Order to Modify Formant Locations for Children Speech Recognition. - Udara Laxman Kumar; Mikko Kurimo; Hemant Kumar Kathania (SPECOM (1), 2023)

Multilingual TTS Accent Impressions for Accented ASR. - Georgios Karakasidis; Nathaniel R. Robinson; Yaroslav Getman; Atieno Ogayo; Ragheb Al-Ghezi; Ananya Ayasi; Shinji Watanabe 001; David R. Mortensen; Mikko Kurimo (TSD, 2023)

Developing an AI-Assisted Low-Resource Spoken Language Learning App for Children. - Yaroslav Getman; Nhan Phan; Ragheb Al-Ghezi; Ekaterina Voskoboinik; Mittul Singh; Tamás Grósz; Mikko Kurimo; Giampiero Salvi; Torbjørn Svendsen; Sofia Strömbergsson; Anna-Riikka Smolander; Sari Ylinen (IEEE Access, 2023)

On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine Translation. - Anssi Moisio; Mathias Creutz; Mikko Kurimo (CoRR, 2023)

Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks. - Anssi Moisio; Dejan Porjazovski; Aku Rouhe; Yaroslav Getman; Anja Virkkunen; Ragheb Al-Ghezi; Mietta Lennes; Tamás Grósz; Krister Lindén; Mikko Kurimo (Lang. Resour. Evaluation, 2023)

Finnish parliament ASR corpus. - Anja Virkkunen; Aku Rouhe; Nhan Phan; Mikko Kurimo (Lang. Resour. Evaluation, 2023)

Systematic Study of Dysarthric Speech Recognition: Spectral Features and Acoustic Models. - Paban Sapkota; Hemant Kumar Kathania; Mikko Kurimo; Sudarsana Reddy Kadiri; Shrikanth Narayanan (IEEECONF, 2024)

Collecting Linguistic Resources for Assessing Children's Pronunciation of Nordic Languages. - Anne Marte Haug Olstad; Anna Smolander; Sofia Strömbergsson; Sari Ylinen; Minna Lehtonen; Mikko Kurimo; Yaroslav Getman; Tamás Grósz; Xinwei Cao; Torbjørn Svendsen; Giampiero Salvi (LREC/COLING, 2024)

Investigating the Clusters Discovered By Pre-Trained AV-HuBERT. - Anja Virkkunen; Marek Sarvas; Guangpu Huang; Tamás Grósz; Mikko Kurimo (ICASSP, 2024)

Exploring adaptation techniques of large speech foundation models for low-resource ASR: a case study on Northern Sámi. - Yaroslav Getman; Tamás Grósz; Katri Hiovain-Asikainen; Mikko Kurimo (INTERSPEECH, 2024)

What happens in continued pre-training? Analysis of self-supervised speech models with continued pre-training for colloquial Finnish ASR. - Yaroslav Getman; Tamás Grósz; Mikko Kurimo (INTERSPEECH, 2024)

Oversampling, Augmentation and Curriculum Learning for Speaking Assessment with Limited Training Data. - Tin Mei Lun; Ekaterina Voskoboinik; Ragheb Al-Ghezi; Tamás Grósz; Mikko Kurimo (INTERSPEECH, 2024)

CaptainA self-study mobile app for practising speaking: task completion assessment and feedback with generative AI. - Nhan Phan; Anna von Zansen; Maria Kautonen; Tamás Grósz; Mikko Kurimo (INTERSPEECH, 2024)

Automated content assessment and feedback for Finnish L2 learners in a picture description speaking task. - Nhan Phan; Anna von Zansen; Maria Kautonen; Ekaterina Voskoboinik; Tamás Grósz; Raili Hildén; Mikko Kurimo (INTERSPEECH, 2024)

Out-of-distribution generalisation in spoken language understanding. - Dejan Porjazovski; Anssi Moisio; Mikko Kurimo (INTERSPEECH, 2024)

Multimodal Humor Detection and Social Perception Prediction. - Mehedi Hasan Bijoy; Dejan Porjazovski; Nhan Phan; Guangpu Huang; Tamás Grósz; Mikko Kurimo (MuSe@ACM Multimedia, 2024)

Effect of Speech Modification on Wav2Vec2 Models for Children Speech Recognition. - Abhijit Sinha; Mittul Singh; Sudarsana Reddy Kadiri; Mikko Kurimo; Hemant Kumar Kathania (SPCOM, 2024)

LLMs' morphological analyses of complex FST-generated Finnish words. - Anssi Moisio; Mathias Creutz; Mikko Kurimo (CoRR, 2024)

Comparison and analysis of new curriculum criteria for end-to-end ASR. - Georgios Karakasidis; Mikko Kurimo; Peter Bell 001; Tamás Grósz (Speech Commun., 2024)

From Raw Speech to Fixed Representations: A Comprehensive Evaluation of Speech Embedding Techniques. - Dejan Porjazovski; Tamás Grósz; Mikko Kurimo (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Principled Comparisons for End-to-End Speech Recognition: Attention vs Hybrid at the 1000-Hour Scale. - Aku Rouhe; Tamás Grósz; Mikko Kurimo (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Spectral warping based data augmentation for low resource children's speaker verification. - Hemant Kumar Kathania; Virender Kadyan; Sudarsana Reddy Kadiri; Mikko Kurimo (Multim. Tools Appl., 2024)

Non-native Children's Automatic Speech Assessment Challenge (NOCASA). - Yaroslav Getman; Tamás Grósz; Mikko Kurimo; Giampiero Salvi (CoRR, 2025)

Mispronunciation Detection Without L2 Pronunciation Dataset in Low-Resource Setting: A Case Study in Finland Swedish. - Nhan Phan; Mikko Kuronen; Maria Kautonen; Riikka Ullakonoja; Anna von Zansen; Yaroslav Getman; Ekaterina Voskoboinik; Tamás Grósz; Mikko Kurimo (CoRR, 2025)

Multi-Teacher Language-Aware Knowledge Distillation for Multilingual Speech Emotion Recognition. - Mehedi Hasan Bijoy; Dejan Porjazovski; Tamás Grósz; Mikko Kurimo (CoRR, 2025)

One Whisper to Grade Them All. - Nhan Phan; Anusha Porwal; Yaroslav Getman; Ekaterina Voskoboinik; Tamás Grósz; Mikko Kurimo (CoRR, 2025)