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GPU-accelerated HMM for Speech Recognition

Leiming Yu, Yash Ukidave, David Kaeli

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, Package, Speech recognition

February 10, 2015 by hgpu

Speech Recognition on Modern Graphic Processing Units

Leiming Yu, John Magrath, Ajey Pandey, Matthew Sears, David Kaeli

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Speech recognition

February 9, 2015 by hgpu

Convolutional Neural Networks for Human Activity Recognition using Mobile Sensors

Ming Zeng, Le T. Nguyen, Bo Yu, Ole J. Mengshoel, Jiang Zhu, Pang Wu, Joy Zhang

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Tags: CNN, CUDA, Image recognition, Neural networks, nVidia, Sensing, Speech recognition, Tesla K20

January 13, 2015 by hgpu

DeepSpeech: Scaling up end-to-end speech recognition

Awni Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, Andrew Y. Ng

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Tags: Computer science, CUDA, Deep learning, nVidia, Speech recognition

December 18, 2014 by hgpu

An Open-Source GPU-Accelerated Feature Extraction Tool

Josef Michalek, Jan Vanek

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Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 660, OpenCL, Speech recognition

December 1, 2014 by hgpu

Parallel training of Deep Neural Networks with Natural Gradient and Parameter Averaging

Daniel Povey, Xiaohui Zhang, Sanjeev Khudanpur

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Tags: Computer science, CUDA, Machine learning, Neural networks, nVidia, Speech recognition, Tesla K10, Tesla K20

October 29, 2014 by hgpu

Introducing CURRENNT – the Munich open-source CUDA RecurREnt Neural Network Toolkit

Felix Weninger, Johannes Bergmann, Bjorn Schuller

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 560, Package, Speech recognition

October 22, 2014 by hgpu

Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition

Xiangang Li, Xihong Wu

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Tags: Computer science, Evolutionary Computations, Neural and Evolutionary Computing, Neural networks, Speech recognition

October 18, 2014 by hgpu

Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition

Andrew L. Maas, Awni Y. Hannun, Christopher T. Lengerich, Peng Qi, Daniel Jurafsky, Andrew Y. Ng

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Tags: Computer science, Machine learning, Neural and Evolutionary Computing, Neural networks, Speech recognition

July 1, 2014 by hgpu

Efficient GPU-based Training of Recurrent Neural Network Language Models Using Spliced Sentence Bunch

X. Chen, Y. Wang, X. Liu, M.J.F. Gales, P. C. Woodland

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX Titan, Speech recognition

June 23, 2014 by hgpu

RASR/NN: The RWTH Neural Network Toolkit for Speech Recognition

Simon Wiesler, Alexander Richard, Pavel Golik, Ralf Schluter, Hermann Ney

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Tags: Algorithms, Computer science, CUDA, Neural networks, nVidia, Speech recognition, Tesla K20

March 9, 2014 by hgpu

Audiovisual Voice Activity Detection and Localization of Simultaneous Speech Sources

Vicente Peruffo Minotto

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Tags: Acoustics, Computer science, CUDA, nVidia, nVidia GeForce GTS 360 M, nVidia GeForce GTX 570, Speech recognition, Thesis

August 28, 2013 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

GPU-accelerated HMM for Speech Recognition

Speech Recognition on Modern Graphic Processing Units

Convolutional Neural Networks for Human Activity Recognition using Mobile Sensors

DeepSpeech: Scaling up end-to-end speech recognition

An Open-Source GPU-Accelerated Feature Extraction Tool

Parallel training of Deep Neural Networks with Natural Gradient and Parameter Averaging

Introducing CURRENNT – the Munich open-source CUDA RecurREnt Neural Network Toolkit

Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition

Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition

Efficient GPU-based Training of Recurrent Neural Network Language Models Using Spliced Sentence Bunch

RASR/NN: The RWTH Neural Network Toolkit for Speech Recognition

Audiovisual Voice Activity Detection and Localization of Simultaneous Speech Sources

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Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

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Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

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