Exemplar-based sparse representations for noise robust automatic speech recognition JF Gemmeke, T Virtanen, A Hurmalainen IEEE Transactions on Audio, Speech, and Language Processing 19 (7), 2067-2080, 2011 | 437 | 2011 |
Non-negative matrix factorization for highly noise-robust asr: To enhance or to recognize? F Weninger, M Wöllmer, J Geiger, B Schuller, JF Gemmeke, ... 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 50 | 2012 |
Group sparsity for speaker identity discrimination in factorisation-based speech recognition A Hurmalainen, R Saeidi, T Virtanen Portland, USA:[Sn], 2012 | 40 | 2012 |
Non-negative matrix deconvolution in noise robust speech recognition A Hurmalainen, J Gemmeke, T Virtanen 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 38 | 2011 |
Modelling non-stationary noise with spectral factorisation in automatic speech recognition A Hurmalainen, JF Gemmeke, T Virtanen Computer Speech & Language 27 (3), 763-779, 2013 | 34 | 2013 |
The TUM+ TUT+ KUL approach to the 2nd CHiME challenge: Multi-stream ASR exploiting BLSTM networks and sparse NMF JT Geiger, F Weninger, A Hurmalainen, J Gemmeke, M Wöllmer, ... Proc. 2nd CHiME Speech Separation and Recognition Challenge held in …, 2013 | 33 | 2013 |
Detection, separation and recognition of speech from continuous signals using spectral factorisation A Hurmalainen, JF Gemmeke, T Virtanen 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012 | 32 | 2012 |
Toward a practical implementation of exemplar-based noise robust ASR JF Gemmeke, A Hurmalainen, T Virtanen, Y Sun 2011 19th European Signal Processing Conference, 1490-1494, 2011 | 28 | 2011 |
Noise robust speaker recognition with convolutive sparse coding. A Hurmalainen, R Saeidi, T Virtanen Interspeech, 244-248, 2015 | 25 | 2015 |
Exemplar-based speech enhancement and its application to noise-robust automatic speech recognition J Gemmeke, T Virtanen, A Hurmalainen Proceedings CHiME 2011, 1-6, 2011 | 25 | 2011 |
Exemplar-based sparse representation and sparse discrimination for noise robust speaker identification R Saeidi, A Hurmalainen, T Virtanen, DA van Leeuwen Singapore:[Sn], 2012 | 24 | 2012 |
Exemplar-based recognition of speech in highly variable noise A Hurmalainen, K Mahkonen, J Gemmeke, T Virtanen Proceedings CHiME 2011, 1-6, 2011 | 21 | 2011 |
Similarity induced group sparsity for non-negative matrix factorisation A Hurmalainen, R Saeidi, T Virtanen 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 12 | 2015 |
Modelling spectro-temporal dynamics in factorisation-based noise-robust automatic speech recognition A Hurmalainen, T Virtanen 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 12 | 2012 |
State-based labelling for a sparse representation of speech and its application to robust speech recognition T Virtanen, J Gemmeke, A Hurmalainen Proceedings Interspeech 2010, 893-896, 2010 | 9 | 2010 |
Compact long context spectral factorisation models for noise robust recognition of medium vocabulary speech A Hurmalainen, J Gemmeke, T Virtanen Proceedings CHiME 2013, 13-18, 2013 | 8 | 2013 |
HMM-regularization for NMF-based noise robust ASR J Gemmeke, A Hurmalainen, T Virtanen Proceedings CHiME 2013, 47-52, 2013 | 6 | 2013 |
Mapping sparse representation to state likelihoods in noise-robust automatic speech recognition K Mahkonen, A Hurmalainen, T Virtanen, J Gemmeke Proceedings Interspeech 2011, 465-468, 2011 | 6 | 2011 |
Learning state labels for sparse classification of speech with matrix deconvolution A Hurmalainen, T Virtanen 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 168-173, 2013 | 5 | 2013 |
Binary non-negative matrix deconvolution for audio dictionary learning S Drgas, T Virtanen, J Lücke, A Hurmalainen IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (8), 1644 …, 2017 | 4 | 2017 |