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Using Artificial Neural Network for Robust Voice Activity Detection Under Adverse Conditions.

, , and . RIVF, page 1-8. IEEE, (2009)

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Using Artificial Neural Network for Robust Voice Activity Detection Under Adverse Conditions., , and . RIVF, page 1-8. IEEE, (2009)Bayesian networks for phonetic classification using time-scale features., and . INTERSPEECH, ISCA, (2006)Low-complexity and efficient classification of voiced/unvoiced/silence for noisy environments., and . INTERSPEECH, ISCA, (2006)Noise Suppression Based Onwavelet Packet Decomposition and Quantile Noise Estimation for Robust Automatic Speech Recognition., , and . ICASSP (1), page 477-480. IEEE, (2006)QoS Assessment on Mobile IPv6., , and . RIVF, page 1-8. IEEE, (2009)Comparison of models using time-frequency features for speech classification., and . RIVF, page 117-125. IEEE, (2006)Low Power Architecture Exploration for Standalone Fall Detection System Based on Computer Vision., , , and . EMS, page 169-173. IEEE, (2014)Voice activity detection algorithms using subband power distance feature for noisy environments., , , and . INTERSPEECH, page 2586-2589. ISCA, (2008)Comparison between DFT-, FCT-, Wavelet-, and Lattice Filter-Based Noise Reduction for ASR., , , , and . RIVF, page 1-4. IEEE, (2010)DWT-Based Phonetic Groups Classification Using Neural Networks., and . ICASSP (1), page 401-404. IEEE, (2005)