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Corrections to Äutomatic Transcription of Conversational Telephone Speech".

, , , , , , , and . IEEE Trans. Audio, Speech & Language Processing, 14 (2): 727-727 (2006)

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Efficient use of DNN bottleneck features in generalized variable parameter HMMs for noise robust speech recognition., , , and . INTERSPEECH, page 2474-2478. ISCA, (2015)Feature space generalized variable parameter HMMs for noise robust recognition., , and . INTERSPEECH, page 2968-2972. ISCA, (2013)Transcription of multi-genre media archives using out-of-domain data., , , , , , , and . SLT, page 324-329. IEEE, (2012)Model complexity control and compression using discriminative growth functions., and . ICASSP (1), page 797-800. IEEE, (2004)Language model combination and adaptation usingweighted finite state transducers., , , and . ICASSP, page 5390-5393. IEEE, (2010)Paraphrastic neural network language models., , and . ICASSP, page 4903-4907. IEEE, (2014)Paraphrastic language models and combination with neural network language models., , and . ICASSP, page 8421-8425. IEEE, (2013)The MGB challenge: Evaluating multi-genre broadcast media recognition., , , , , , , , , and 1 other author(s). ASRU, page 687-693. IEEE, (2015)Efficient Training and Evaluation of Recurrent Neural Network Language Models for Automatic Speech Recognition., , , , and . IEEE/ACM Trans. Audio, Speech & Language Processing, 24 (11): 2146-2157 (2016)Gaussian Process Neural Networks for Speech Recognition., , , , , , , and . INTERSPEECH, page 1778-1782. ISCA, (2018)