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Applying convolutional neural networks concepts to hybrid NN-HMM model for speech recognition

, , , and . 2012 IEEE international conference on Acoustics, speech and signal processing (ICASSP), page 4277--4280. IEEE, (2012)

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Improving Arabic HMM based speech synthesis quality., , and . INTERSPEECH, ISCA, (2006)Bandwidth Embeddings for Mixed-bandwidth Speech Recognition., , , and . CoRR, (2019)Applying convolutional neural networks concepts to hybrid NN-HMM model for speech recognition, , , and . 2012 IEEE international conference on Acoustics, speech and signal processing (ICASSP), page 4277--4280. IEEE, (2012)A deep convolutional neural network using heterogeneous pooling for trading acoustic invariance with phonetic confusion., , and . ICASSP, page 6669-6673. IEEE, (2013)Fast speaker adaptation of hybrid NN/HMM model for speech recognition based on discriminative learning of speaker code., and . ICASSP, page 7942-7946. IEEE, (2013)Detecting the origin of text segments efficiently., , , and . WWW, page 61-70. ACM, (2009)Direct adaptation of hybrid DNN/HMM model for fast speaker adaptation in LVCSR based on speaker code., , , and . ICASSP, page 6339-6343. IEEE, (2014)Fast adaptation of deep neural network based on discriminant codes for speech recognition., , , , and . IEEE/ACM Trans. Audio, Speech & Language Processing, 22 (12): 1713-1725 (2014)Convolutional Neural Networks for Speech Recognition., , , , , and . IEEE/ACM Trans. Audio, Speech & Language Processing, 22 (10): 1533-1545 (2014)Exploring convolutional neural network structures and optimization techniques for speech recognition., , and . INTERSPEECH, page 3366-3370. ISCA, (2013)