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UT-Vocal Effort II: Analysis and constrained-lexicon recognition of whispered speech.

, , and . ICASSP, page 2544-2548. IEEE, (2014)

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UT-Vocal Effort II: Analysis and constrained-lexicon recognition of whispered speech., , and . ICASSP, page 2544-2548. IEEE, (2014)Occupancy Detection in Commercial and Residential Environments Using Audio Signal., , , , and . INTERSPEECH, page 3802-3806. ISCA, (2017)Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection., , , and . EMBC, page 1408-1411. IEEE, (2018)Acoustic Scene Classification Using a CNN-SuperVector System Trained with Auditory and Spectrogram Image Features., , , , and . INTERSPEECH, page 3073-3077. ISCA, (2017)Deep neural network training for whispered speech recognition using small databases and generative model sampling., , and . I. J. Speech Technology, 20 (4): 1063-1075 (2017)Efficient Frequency Domain Implementation of Noncausal Multichannel Blind Deconvolution for Convolutive Mixtures of Speech., , , , and . IEEE Trans. Audio, Speech & Language Processing, 20 (8): 2365-2377 (2012)An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification., , , , and . INTERSPEECH, page 127-131. ISCA, (2018)End-to-End Neural Network Based Automated Speech Scoring., , , and . ICASSP, page 6234-6238. IEEE, (2018)Self-supervised Attention Model for Weakly Labeled Audio Event Classification., and . EUSIPCO, page 1-5. IEEE, (2019)Deep Multiple Instance Feature Learning via Variational Autoencoder.. AAAI Workshops, volume WS-18 of AAAI Technical Report, page 132-140. AAAI Press, (2018)