high performance computing on graphics processing units: hgpu.org

hgpu.org » Speech recognition

Optimization of the Gaussian Mixture Model Evaluation on GPU

Jan Vanek, Jan Trmal, Josef V. Psutka, Josef Psutka

View

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 240, nVidia GeForce GTX 260, OpenCL, Optimization, Speech recognition

October 4, 2011 by hgpu

H- and C-level WFST-based large vocabulary continuous speech recognition on Graphics Processing Units

Jungsuk Kim, Kisun You, Wonyong Sung

View

Download (PDF)

Tags: CUDA, nVidia, nVidia GeForce GTX 285, Signal processing, Speech recognition

July 17, 2011 by hgpu

Kernelized Renyi distance for speaker recognition

Balaji Vasan Srinivasan, Ramani Duraiswami, Dmitry N. Zotkin

View

Download (PDF)

Tags: Acoustics, CUDA, nVidia, nVidia GeForce GTX 280, Signal processing, Speech recognition

July 4, 2011 by hgpu

Parallel implementation of artificial neural network training

S. Scanzio, S. Cumani, R. Gemello, F. Mana, P. Laface

Tags: Acoustics, CUDA, Neural networks, nVidia, Signal processing, Speech recognition

June 14, 2011 by hgpu

Fast acoustic computations using graphics processors

Paul R. Dixon, Tasuku Oonishi, Sadaoki Furui

View

Download (PDF)

Tags: CUDA, nVidia, nVidia GeForce 8800 GTX, Signal processing, Speech recognition

December 25, 2010 by hgpu

Harnessing graphics processors for the fast computation of acoustic likelihoods in speech recognition

Paul R. Dixon, Tasuku Oonishi, Sadaoki Furui

Tags: Acoustics, CUDA, nVidia, Signal processing, Speech recognition

November 27, 2010 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

* * *

high performance computing on graphics processing units: hgpu.org

Optimization of the Gaussian Mixture Model Evaluation on GPU

H- and C-level WFST-based large vocabulary continuous speech recognition on Graphics Processing Units

Kernelized Renyi distance for speaker recognition

Parallel implementation of artificial neural network training

Fast acoustic computations using graphics processors

Harnessing graphics processors for the fast computation of acoustic likelihoods in speech recognition

Recent source codes

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

HiRep

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

Gaia AVU-GSR

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

Most viewed papers (last 30 days)