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Minimum Classification Error Training to Improve Isolated Chord Recognition.

, , , , , and . ISMIR, page 609-614. International Society for Music Information Retrieval, (2009)

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Exploring universal attribute characterization of spoken languages for spoken language recognition., , , and . INTERSPEECH, page 168-171. ISCA, (2009)A penalized logistic regression approach to detection based phone classification., , and . INTERSPEECH, page 2390-2393. ISCA, (2008)Continuous phone recognition without target language training data., , , and . INTERSPEECH, page 2687-2690. ISCA, (2008)Maximum a posteriori adaptation of network parameters in deep models., , , , , and . INTERSPEECH, page 1076-1080. ISCA, (2015)Consumer-level multimedia event detection through unsupervised audio signal modeling., , , and . INTERSPEECH, page 2081-2084. ISCA, (2012)MIP: A New Hybrid Multi-Agent Architecture for the Coordination of a Robot Colony Activities., , , and . ECAI, page 713-717. IOS Press, (2002)High-Accuracy Phone Recognition By Combining High-Performance Lattice Generation and Knowledge Based Rescoring., , and . ICASSP (4), page 869-872. IEEE, (2007)Experiments on Cross-Language Attribute Detection and Phone Recognition With Minimal Target-Specific Training Data., , , and . IEEE Trans. Audio, Speech & Language Processing, 20 (3): 875-887 (2012)Improving non-native mispronunciation detection and enriching diagnostic feedback with DNN-based speech attribute modeling., , , and . ICASSP, page 6135-6139. IEEE, (2016)A unified approach to transfer learning of deep neural networks with applications to speaker adaptation in automatic speech recognition., , and . Neurocomputing, (2016)