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Speech Recognition on Multi-Core Processors and GPUs

Patrick Cardinal

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Tags: Algorithms, CUDA, nVidia, nVidia GeForce GTX 295, Signal processing, Speech recognition, Thesis

August 13, 2013 by hgpu

Optimized MFCC Feature Extraction on GPU

Haofeng Kou, Weijia Shang, Ian Lane, Jike Chong

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Speech recognition

July 13, 2013 by hgpu

Full Covariance Gaussian Mixture Models Evaluation on GPU

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

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Tags: Algorithms, ATI, ATI Mobility Radeon HD 5470, ATI Radeon HD 5670, ATI Radeon HD 5870, CUDA, nVidia, nVidia GeForce GT 240, nVidia GeForce GTX 580, nVidia Quadro FX 770 M, OpenCL, Signal processing, Speech recognition

March 2, 2013 by hgpu

High Dimensional Spaces and Modelling in the task of Speaker Recognition

Lukas Machlica

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

November 15, 2012 by hgpu

Multi-user real-time speech recognition with a GPU

Jungsuk Kim

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Speech recognition

September 5, 2012 by hgpu

Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation

Holger Schwenk, Anthony Rousseau, Mohammed Attik

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Source codes

Tags: Computational Complexity, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Package, Speech recognition, Tesla M2090

June 11, 2012 by hgpu

An Automatic Speech Recognition Application Framework for Highly Parallel Implementations on the GPU

Jike Chong, Ekaterina Gonina, Dorothea Kolossa, Steffen Zeiler, Kurt Keutzer

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Tags: Computer science, CUDA, Java, nVidia, nVidia GeForce GTX 480, Programming techniques, Speech recognition

May 15, 2012 by hgpu

Toward a Practical Implementation of Exemplar-Based Noise Robust ASR

Jort Gemmeke, Antti Hurmalainen, Tuomas Virtanen, Sun Yang

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Tags: Acoustics, Computer science, nVidia, nVidia GeForce GTX 460, Speech recognition

January 29, 2012 by hgpu

Using a GPU, Online Diarization – Offline Diarization

Gerald Friedland

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Tags: Acoustics, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Speech recognition

January 26, 2012 by hgpu

Improving the speed of neural networks on CPUs

Vincent Vanhoucke, Andrew Senior, Mark Z. Mao

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Tags: Computer science, CUDA, Neural networks, nVidia, Speech recognition, Tesla C2070, Tutorial

December 28, 2011 by hgpu

Scope for performance enhancement of CMU Sphinx by parallelising with OpenCL

S. C. Harish, D. Balaji, M. Vignesh, P. Deepan Kumar, V. Adinarayanan

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Tags: OpenCL, Signal processing, Speech recognition

November 16, 2011 by hgpu

Fast Speaker Diarization Using a High-Level Scripting Language

Ekaterina Gonina, Gerald Friedland, Henry Cook, Kurt Keutzer

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Tags: Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Python, Speech recognition

October 31, 2011 by hgpu

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

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high performance computing on graphics processing units: hgpu.org

Speech Recognition on Multi-Core Processors and GPUs

Optimized MFCC Feature Extraction on GPU

Full Covariance Gaussian Mixture Models Evaluation on GPU

High Dimensional Spaces and Modelling in the task of Speaker Recognition

Multi-user real-time speech recognition with a GPU

Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation

An Automatic Speech Recognition Application Framework for Highly Parallel Implementations on the GPU

Toward a Practical Implementation of Exemplar-Based Noise Robust ASR

Using a GPU, Online Diarization – Offline Diarization

Improving the speed of neural networks on CPUs

Scope for performance enhancement of CMU Sphinx by parallelising with OpenCL

Fast Speaker Diarization Using a High-Level Scripting Language

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

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