“智能硬件-课程阅读2”版本间的差异
来自iCenter Wiki
（以“ Google Speech Processing from Mobile to Farfield CHiME 2016 # Parallel training of DNNs with natural gradient and parameter averaging, ICLR Workshop 2015. [http:/...”为内容创建页面） |
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# Parallel training of DNNs with natural gradient and parameter averaging, ICLR Workshop 2015. [http://www.danielpovey.com Dan Povey] | # Parallel training of DNNs with natural gradient and parameter averaging, ICLR Workshop 2015. [http://www.danielpovey.com Dan Povey] | ||
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# Karpagavalli, S., and E. Chandra. "A Review on Automatic Speech Recognition Architecture and Approaches." International Journal of Signal Processing, Image Processing and Pattern Recognition 9, no. 4 (2016): 393-404. | # Karpagavalli, S., and E. Chandra. "A Review on Automatic Speech Recognition Architecture and Approaches." International Journal of Signal Processing, Image Processing and Pattern Recognition 9, no. 4 (2016): 393-404. | ||
# EESEN_ End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding, ASRU 2015. | # EESEN_ End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding, ASRU 2015. | ||
# Learning the Speech Front-end With Raw Waveform CLDNNs, InterSpeech 2015. | # Learning the Speech Front-end With Raw Waveform CLDNNs, InterSpeech 2015. | ||
2016年11月22日 (二) 04:39的版本
Google Speech Processing from Mobile to Farfield CHiME 2016
- Parallel training of DNNs with natural gradient and parameter averaging, ICLR Workshop 2015. Dan Povey
- Karpagavalli, S., and E. Chandra. "A Review on Automatic Speech Recognition Architecture and Approaches." International Journal of Signal Processing, Image Processing and Pattern Recognition 9, no. 4 (2016): 393-404.
- EESEN_ End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding, ASRU 2015.
- Learning the Speech Front-end With Raw Waveform CLDNNs, InterSpeech 2015.
