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Towards a New Understanding of the Training of Neural Networks with Mislabeled Training Data.

, , , , , and . ICASSP, page 8394-8398. IEEE, (2020)

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Discriminatively trained Language Models using Support Vector Machines for Language Identification., , , and . Odyssey, page 1-6. IEEE, (2006)Invariance of the magnitude-squared coherence estimate with respect to second-channel statistics., and . IEEE Trans. Acoust. Speech Signal Process., 35 (12): 1774-1776 (1987)Keyword Spotting of Arbitrary Words Using Minimal Speech Resources., and . ICASSP (1), page 949-952. IEEE, (2006)A geometric approach to multiple-channel signal detection., , and . IEEE Trans. Signal Process., 43 (9): 2049-2057 (1995)Boosting with anti-models for automatic language identification., , , and . INTERSPEECH, page 342-345. ISCA, (2007)Unsupervised training of an HMM-based speech recognizer for topic classification., , , and . INTERSPEECH, page 1935-1938. ISCA, (2009)Improved estimation, evaluation and applications of confidence measures for speech recognition., , and . EUROSPEECH, page 831-834. ISCA, (1997)Predicting word spotting performance., , and . ICSLP, page 2195-2198. ISCA, (1994)Probabilistic vector mapping of noisy speech parameters for HMM word spotting., , and . ICASSP, page 117-120. IEEE, (1990)An unsupervised, sequential learning algorithm for the segmentation of speech waveforms with multiple speakers., , and . ICASSP, page 189-192. IEEE Computer Society, (1992)