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Antti Hurmalainen
Antti Hurmalainen
DSP Algorithm Developer, Yousician
Dirección de correo verificada de tut.fi - Página principal
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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
4392011
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
512012
Group sparsity for speaker identity discrimination in factorisation-based speech recognition
A Hurmalainen, R Saeidi, T Virtanen
Portland, USA:[Sn], 2012
402012
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
402011
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
352013
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
332013
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
322012
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
272011
Noise robust speaker recognition with convolutive sparse coding
A Hurmalainen, R Saeidi, T Virtanen
Sixteenth annual conference of the international speech communication …, 2015
262015
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
262011
Exemplar-based sparse representation and sparse discrimination for noise robust speaker identification
R Saeidi, A Hurmalainen, T Virtanen, DA van Leeuwen
Singapore:[Sn], 2012
252012
Exemplar-based recognition of speech in highly variable noise
A Hurmalainen, K Mahkonen, J Gemmeke, T Virtanen
Proceedings CHiME 2011, 1-6, 2011
212011
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
132012
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
122015
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
92010
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
82013
HMM-regularization for NMF-based noise robust ASR
J Gemmeke, A Hurmalainen, T Virtanen
Proceedings CHiME 2013, 47-52, 2013
62013
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
62011
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
52013
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
42017
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Artículos 1–20