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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

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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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

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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