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TrueAudio Next - GPUOpen
https://gpuopen.com/true-audio-next/#:~:text=Accelerating%20game%20audio%20on%20the%20GPU%20frees%20CPU,real-time%2C%20time-varying%20convolution%20performed%20on%20every%20audio%20source.
GitHub - KnowledgePending/GPU-Accelerated-Audio …
https://github.com/KnowledgePending/GPU-Accelerated-Audio-Generation
GPU-Accelerated-Audio-Generation Generating Audio using GPU Compute Shaders The program uses the Vulkan API to allow for cross platform GPU accelerated audio generation. Dependencies VulkanSDK C++17 Compiler sox oggenc Generating Audio Compile the shader using the glslc compiler found within the Vulkan SDK
GPU-Accelerated Speech to Text with Kaldi: A Tutorial on ...
https://developer.nvidia.com/blog/gpu-accelerated-speech-to-text-with-kaldi-a-tutorial-on-getting-started/
We’ll walk you through reproducing our most recent performance benchmark with the GPU-accelerated LibriSpeech and ASpIRE automatic speech recognition (ASR) models, which transcribe audio recordings of speech into text. We’ll also show you how to perform ASR on your own audio recordings using the accelerated model. Quick Background
c# - GPU audio processing - Stack Overflow
https://stackoverflow.com/questions/64800548/gpu-audio-processing
Bilbao and Webb[11] present a GPU-accelerated model of timpani, synthesizing sound at 44.1kHz in a 3D computational space within and outside the drum. The GPU approach uses a matrix-free implementation to obtain a 30x+ speedup over a MATLAB CPU-, sparse-matrix-based prototype, and a greater-than-7.5x speedup over single-threaded C code baseline.
GPU-Accelerated Modal Processors and Digital …
https://lac.linuxaudio.org/2019/doc/skare.pdf
1.2. GPU Acceleration for Audio Algorithms For years, graphics processing units (GPUs) have supported both high-level realtime graphics APIs as well as lower-level, general-purpose computational APIs. GPU acceleration of audio synthe-sis and audio effect algorithms has been shown to yield substantial speedups on certain algorithms.
TrueAudio Next - GPUOpen
https://gpuopen.com/true-audio-next/
Accelerating game audio on the GPU frees CPU bandwidth for game physics and AI, while enabling advanced interactive acoustics modeling on many audio streams. Advanced audio processing has greatly increased compute requirements: Physics-derived audio benefits from real-time, time-varying convolution performed on every audio source.
AES E-Library » CUDA Accelerated Audio Digital Signal ...
https://www.aes.org/e-lib/browse.cfm?elib=17443
abstract={this paper investigates the use of idle graphics processors to accelerate audio dsp for real-time algorithms. several common algorithms have been identified for acceleration and were executed in multiple thread and block configurations to ascertain the desired configuration for the different algorithms. the gpu and cpu performing on the same …
How to Set Up and Enable GPU Acceleration on Computer ...
https://www.fonelab.com/resource/gpu-acceleration.html
GPU acceleration enables video editors to speed up the conversion. You will be required to set up and enable GPU acceleration before using it. In this part, we will take Intel Quick Sync Video as an example and show you how. Step 1 Go to Microsoft official site, download and install the latest Intel graphics drivers.
GPU hardware acceleration for audio transcoding? …
https://www.reddit.com/r/ffmpeg/comments/ihyvav/gpu_hardware_acceleration_for_audio_transcoding/
Audio is typically only hardware accelerated in things like smartphone SoCs, because power efficiency is so important there. Different operating systems also have APIs to handle high-performance media encoding/decoding, avfoundation on macOS, for example, but I suspect that those also just use software encoders/decoders on desktop/laptop platforms.
Creative Apps Accelerated With GPU | NVIDIA Studio
https://www.nvidia.com/en-us/studio/software/
GPU-accelerated encode (NVENC) to speed up the exporting of videos. GPU-accelerated decode (NVDEC) to enable smooth playback and scrubbing of high-resolution and multi-stream videos. GPU-accelerated effects with NVIDIA CUDA technology for faster real-time video editing and frame rendering, up to 5X faster exports with NVIDIA encoding.
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