DeltaRNN-Reference-Cited by-同舟云学术

DeltaRNN

Published:2018-02-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays
language:
Short-container-title:

Author:

Gao Chang¹,Neil Daniel¹,Ceolini Enea¹,Liu Shih-Chii¹,Delbruck Tobi¹

Affiliation:

1. University of Zurich & ETH Zurich, Zurich, Switzerland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3174243.3174261

Reference30 articles.

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2. D. Amodei R. Anubhai E. Battenberg C. Case J. Casper B. Catanzaro J. Chen M. Chrzanowski A. Coates G. Diamos E. Elsen J. Engel L. Fan C. Fougner T. Han A. Y. Hannun B. Jun P. LeGresley L. Lin S. Narang A. Y. Ng S. Ozair R. Prenger J. Raiman S. Satheesh D. Seetapun S. Sengupta Y. Wang Z. Wang C. Wang B. Xiao D. Yogatama J. Zhan and Z. Zhu. 2015. Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. CoRR abs/1512.02595 (2015). D. Amodei R. Anubhai E. Battenberg C. Case J. Casper B. Catanzaro J. Chen M. Chrzanowski A. Coates G. Diamos E. Elsen J. Engel L. Fan C. Fougner T. Han A. Y. Hannun B. Jun P. LeGresley L. Lin S. Narang A. Y. Ng S. Ozair R. Prenger J. Raiman S. Satheesh D. Seetapun S. Sengupta Y. Wang Z. Wang C. Wang B. Xiao D. Yogatama J. Zhan and Z. Zhu. 2015. Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. CoRR abs/1512.02595 (2015).

3. N. Bell and M. Garland. 2008. Efficient Sparse Matrix-Vector Multiplication on CUDA. NVIDIA Technical Report NVR-2008-004. NVIDIA Corporation. N. Bell and M. Garland. 2008. Efficient Sparse Matrix-Vector Multiplication on CUDA. NVIDIA Technical Report NVR-2008-004. NVIDIA Corporation.

4. A. X. M. Chang B. Martini and E. Culurciello. 2015. Recurrent Neural Networks Hardware Implementation on FPGA. CoRR abs/1511.05552 (2015). A. X. M. Chang B. Martini and E. Culurciello. 2015. Recurrent Neural Networks Hardware Implementation on FPGA. CoRR abs/1511.05552 (2015).

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