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On the use of spectro-temporal features for the IEEE AASP challenge 'detection and classification of acoustic scenes and events'.

, , , , , , , , and . WASPAA, page 1-4. IEEE, (2013)

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Predicting the quality of processed speech by combining modulation-based features and model trees., , , , , , and . ITG Symposium on Speech Communication, page 1-5. IEEE, (2016)Transportation mode classification from smartphone sensors via a long-short-term-memory network., , , and . UbiComp/ISWC Adjunct, page 709-713. ACM, (2019)Performance comparison of intrusive and non-intrusive instrumental quality measures for enhanced speech., , , , and . IWAENC, page 1-5. IEEE, (2016)A study on speech quality and speech intelligibility measures for quality assessment of single-channel dereverberation algorithms., , , , , , , , , and 1 other author(s). IWAENC, page 233-237. IEEE, (2014)Late reverberant spectral variance estimation using acoustic channel equalization., , , , and . EUSIPCO, page 2481-2485. IEEE, (2015)Reduction of Non-stationary Noise for a Robotic Living Assistant using Sparse Non-negative Matrix Factorization., , and . SMIAE@ACL, page 28-33. Association for Computational Linguistics, (2012)Non-Intrusive Speech Quality Prediction Using Modulation Energies and LSTM-Network., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 27 (7): 1151-1163 (2019)Combination of MVDR beamforming and single-channel spectral processing for enhancing noisy and reverberant speech., , , , , , , and . EURASIP J. Adv. Signal Process., (2015)Perceptual and instrumental evaluation of the perceived level of reverberation., , , , , and . ICASSP, page 629-633. IEEE, (2016)Measuring, modelling and predicting perceived reverberation., , , , and . ICASSP, page 381-385. IEEE, (2017)