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Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin., , , , , , , , , and 27 other author(s). ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 173-182. JMLR.org, (2016)Learning features in deep architectures with unsupervised kernel k-means., and . GlobalSIP, page 981-984. IEEE, (2013)Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin., , , , , , , , , and 29 other author(s). ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 173-182. JMLR.org, (2016)Waveglow: A Flow-based Generative Network for Speech Synthesis., , and . ICASSP, page 3617-3621. IEEE, (2019)Deep Speech: Scaling up end-to-end speech recognition., , , , , , , , , and 1 other author(s). CoRR, (2014)Deep Speech 2: End-to-End Speech Recognition in English and Mandarin., , , , , , , , , and 24 other author(s). CoRR, (2015)Accelerating a Random Forest Classifier: Multi-Core, GP-GPU, or FPGA?, , , and . FCCM, page 232-239. IEEE Computer Society, (2012)WaveGlow: A Flow-based Generative Network for Speech Synthesis., , and . CoRR, (2018)Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting., , , , , , , and . INTERSPEECH, page 1606-1610. ISCA, (2017)Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens., , , and . CoRR, (2019)