Tuomas Virtanen, researcher

I am a senior researcher at the Department of Signal Processing, Audio Research Group, Tampere University of Technology. My research topic is computational analysis of audio, especially sound source separation, which has several applications in the analysis, editing and manipulation of audio signals. These include for example structured audio coding, automatic transcription of music, and noise-robust automatic speech recognition.

Audio demonstrations.

Teaching

• Digitaalinen audio, digital audio

Publications

• A. Mesaros and T. Virtanen. Automatic recognition of lyrics in singing, EURASIP Journal on Audio, Speech and Music Processing, Volume 2010 (2010), (in press).


• A. Klapuri and T. Virtanen, "Representing Musical Sounds with an Interpolating State Model," IEEE Trans. Audio, Speech and Language Processing, to appear.


• E. Helander, T. Virtanen, J. Nurminen, and M. Gabbouj. Voice Conversion Using Partial Least Squares. IEEE Transactions on Audio, Speech, and Language Processing, accepted for publication.


• M. Helén and T. Virtanen, Audio query by example using similarity measures between probability density functions of features, EURASIP Journal on Audio, Speech and Music Processing, Volume 2010 (2010), (in press).


• J. F. Gemmeke and T. Virtanen Noise robust exemplar-based connected digit recognition, to be presented at the 35th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, USA, 2010.


• A. Klapuri, T. Virtanen, and T. Heittola. Sound source separation in monaural music signals using excitation-filter model and EM algorithm, to be presented at the 35th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, USA, 2010.


• A. Mesaros and T. Virtanen, Recognition of phonemes and words in singing, to be presented at the 35th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, USA, 2010.


• J. Nikunen and T. Virtanen, Noise-to-mask ratio minimization by weighted non-negative matrix factorization, to be presented at the 35th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, USA, 2010.


• T. Heittola, A. Klapuri, and T. Virtanen. Musical Instrument Recognition in Polyphonic Audio Using Source-Filter Model for Sound Separation, in Proc. 10th Int. Society for Music Information Retrieval Conf. (ISMIR 2009), Kobe, Japan, 2009. The paper won the best paper award of the conference.


• T. Virtanen and T. Heittola. Interpolating Hidden Markov Model and Its Application to Automatic Instrument Recognition, presented in ICASSP 2009.


• A. Mesaros. and T. Virtanen. Adaptation of a singing recognizer for singing voice , in EUSIPCO 2009.


• T. Virtanen. Spectral Covariance in Prior Distributions of Non-Negative Matrix Factorization Based Speech Separation , in EUSIPCO 2009.


• M. Myllymäki and T. Virtanen. Non-Stationary Noise Model Compensation in Voice Activity Detection , in EUSIPCO 2009.


• T. Virtanen and A. T. Cemgil. Mixtures of Gamma Priors for Non-Negative Matrix Factorization Based Speech Separation, presented in ICA 2009. © Springer-Verlag. The publication will become available at springerlink.com.


• T. Virtanen, A. Mesaros, M. Ryynänen. Combining Pitch-Based Inference and Non-Negative Spectrogram Factorization in Separating Vocals from Polyphonic Music, SAPA 2008.


• T. Virtanen, A. T. Cemgil, and S. J. Godsill. Bayesian Extensions to Non-negative Matrix Factorisation for Audio Signal Modelling, ICASSP 2008. This work was carried out in University of Cambridge, Signal Processing and Communications Laboratory.


• A. Mesaros and T. Virtanen. Automatic Alignment of Music Audio and Lyrics, DAFX08.


• M. Myllymäki and T. Virtanen. Voice Activity Detection in the Presence of Breathing Noise Using Neural Network and Hidden Markov Model, EUSIPCO 2008.


• M. Ryynänen, T. Virtanen, J. Paulus, and A. Klapuri, Accompaniment Separation and Karaoke Application Based on Automatic Melody Transcription, in Proc. 2008 IEEE International Conference on Multimedia & Expo (ICME'08), Hannover, Germany, June 2008. (demonstrations)


• A. Klapuri and T. Virtanen, Progress towards automatic music transcription, In Handbook of Signal Processing in Acoustics, David Havelock, Sonoko Kuwano, and Michael Vorlander (Eds.), Springer-Verlag, 2008.


• Virtanen, Tuomas., Monaural Sound Source Separation by Non-Negative Matrix Factorization with Temporal Continuity and Sparseness Criteria, IEEE Transactions on Audio, Speech, and Language Processing, vol 15, no. 3, March 2007.


• Virtanen, T., Helén, M., Probabilistic Model Based Similarity Measures for Audio Query-by-Example , in proc. WASPAA 2007.


• Mesaros, A., Virtanen, T., Klapuri, A. Singer Identification in Polyphonic Music Using Vocal Separation and Pattern Recognition Methods, International Conference on Music Information Retrieval, Vienna, Austria, 2007.


• Helén, M., Virtanen, T., Query by Example of Audio signals Using Euclidean Distance Between Gaussian Mixture Models, in proc. ICASSP 2007. Note: two small errors in equations (8) - (11) have been corrected. The corrections do not appear in the ICASSP conference proceedings.


• Helén, M., Virtanen, T., A Similarity Measure for Audio Query by Example Based on Perceptual Coding and Compression, in proc. 10th International Conference on Digital Audio Effects (DAFx-07), September 10-15. 2007.


• Virtanen, Tuomas, Monaural Sound Source Separation by Perceptually Weighted Non-Negative Matrix Factorization, Technical report, Tampere University of Technology, Institute of Signal Processing, 2007.


• Virtanen, T., Klapuri, A., Analysis of polyphonic audio using source-filter model and non-negative matrix factorization, in Advances in Models for Acoustic Processing, Neural Information Processing Systems Workshop, 2006 (extended abstract).


• Virtanen, Tuomas., Speech Recognition Using Factorial Hidden Markov Models for Separation in the Feature Space, in proc. Interspeech 2006, Pittsburgh, USA. (demonstrations). The second best results among the papers presented in Interspeech 2006 Speech Separation Challenge special session.


• Virtanen, Tuomas. "Unsupervised Learning Methods for Source Separation", in "Signal Processing Methods for Music Transcription", eds. Klapuri, A., Davy, M., Springer-Verlag, 2006.


• Helén, M., Virtanen, T., Separation of Drums From Polyphonic Music Using Non-Negative Matrix Factorization and Support Vector Machine, in proc. 13th European Signal Processing Conference Antalaya, Turkey, 2005. (demonstrations)


• Klapuri, A., Virtanen, T., Helén, M., Modeling musical sounds with an interpolating state model, in proc. 13th European Signal Processing Conference, Antalya, Turkey, 2005.


• Paulus, J., Virtanen, T., Drum Transcription with Non-negative Spectrogram Factorisation, in proc. 13th European Signal Processing Conference Antalaya, Turkey, 2005 (demonstrations)


• Virtanen, Tuomas, Separation of Sound Sources by Convolutive Sparse Coding, ISCA Tutorial and Research Workshop on Statistical and Perceptual Audio Processing, SAPA 2004.(demonstrations)


• M.Helén, T.Virtanen, Perceptually Motivated Parametric Representation for Harmonic Sounds for Data Compression Purposes, 6th International conference on Digital Audio Effects (DAFx-03), 2003, London, UK.


• Virtanen, Tuomas, Algorithm for the separation of harmonic sounds with time-frequency smoothness constraint, in proc. the 6th International Conference on Digital Audio Effects (DAFx-03), London, UK.


• Virtanen, Tuomas, Sound Source Separation Using Sparse Coding with Temporal Continuity Objective, International Computer Music Conference, ICMC 2003. (demonstrations)


• Parviainen, M., Virtanen, T., Two-channel separation of speech using direction-of-arrival estimation and sinusoids plus transients modeling, IEEE International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2003.


• Virtanen, T., Klapuri A., Separation of Harmonic Sounds Using Linear Models for the Overtone Series, IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2002. (demonstrations)


• Virtanen, Tuomas, Accurate Sinusoidal Model Analysis and Parameter Reduction by Fusion of Components, 110th Audio Engineering Society Convention, Amsterdam, Netherlands 2001.


• Virtanen, T., Klapuri A. Separation of Harmonic Sounds Using Multipitch Analysis and Iterative Parameter Estimation, Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, New York, 2001. (demonstrations)


• Klapuri, A., Virtanen, T., Holm, J.-M., Robust multipitch estimation for the analysis and manipulation of polyphonic musical signals. In Proc. COST-G6 Conference on Digital Audio Effects, DAFx-00, Verona, Italy, 2000.


• Sillanpää, J., Klapuri, A., Seppänen, J., Virtanen, T., Recognition of acoustic noise mixtures by combined bottom-up and top-down processing. Proceedings of the European Signal Processing Conference EUSIPCO, 2000.


• Virtanen, T., Klapuri, A. Separation of Harmonic Sound Sources Using Sinusoidal Modeling, IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2000. (demonstrations)


• Virtanen, Tuomas, Audio Signal Modeling with Sinusoids Plus Noise, MSc thesis, Tampere University of Technology 2001. (demonstrations 1, demonstrations 2)

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