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4 repository-uri

Awesome GitHub RepositoriesAudio Acceleration

Hardware-accelerated processing for audio-specific computational tasks.

Distinct from Hardware Acceleration: Focuses on audio-specific hardware acceleration, distinct from general-purpose hardware acceleration.

Explore 4 awesome GitHub repositories matching operating systems & systems programming · Audio Acceleration. Refine with filters or upvote what's useful.

Awesome Audio Acceleration GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • anjok07/ultimatevocalremoverguiAvatar Anjok07

    Anjok07/ultimatevocalremovergui

    23,673Vezi pe GitHub↗

    Ultimate Vocal Remover is a desktop application designed for AI-driven audio source separation. It utilizes deep learning models to isolate vocals, drums, and other individual instruments from mixed audio files, providing a utility for professional production and creative editing workflows. The software distinguishes itself by leveraging GPU-accelerated tensor computation to perform complex signal processing tasks, significantly reducing the time required for high-fidelity audio extraction. It incorporates a modular plugin architecture that integrates external utilities to support a wide rang

    Offloads complex audio separation tasks to dedicated graphics hardware to reduce computation time.

    Pythonaudioinstrumentalkaraoke
    Vezi pe GitHub↗23,673
  • zackriya-solutions/meeting-minutesAvatar Zackriya-Solutions

    Zackriya-Solutions/meeting-minutes

    12,757Vezi pe GitHub↗

    This project is a self-hosted meeting transcription and summarization tool that converts audio recordings into text transcripts and structured notes using large language models. It functions as an enterprise meeting documentation manager, allowing for the organization and editing of timestamped records. The system prioritizes data privacy through local-first processing and the ability to deploy on private infrastructure. It supports a provider-agnostic architecture, enabling users to connect to local AI engines, self-hosted servers, or cloud-based API endpoints for both transcription and summ

    Utilizes hardware acceleration to process audio files faster and improve accuracy in noisy environments.

    Rustaiai-meeting-assistantllm
    Vezi pe GitHub↗12,757
  • nvidia/personaplexAvatar NVIDIA

    NVIDIA/personaplex

    10,030Vezi pe GitHub↗

    Personaplex is an LLM speech-to-speech framework and conversational AI persona engine designed for real-time voice interfaces. It provides a system for defining AI identities and vocal characteristics through a combination of text-based role prompts and audio reference files. The project features a real-time AI voice interface that supports full-duplex human-AI dialogue, enabling multiple parties to speak and listen simultaneously via bidirectional audio streaming. It includes a GPU-accelerated audio processor and a speech-to-speech pipeline to facilitate low-latency conversations. The frame

    Ships a GPU-accelerated audio processor to handle high-performance speech synthesis and offloading.

    Python
    Vezi pe GitHub↗10,030
  • robbert-vdh/nih-plugAvatar robbert-vdh

    robbert-vdh/nih-plug

    2,634Vezi pe GitHub↗

    nih-plug is an audio plugin SDK and development framework providing a set of tools and traits for processing audio and MIDI data in a real-time safe environment. It functions as a cross-format plugin wrapper, allowing a single implementation to be exported into multiple industry-standard audio plugin formats, including VST, CLAP, and LV2. The project includes a retained-mode GUI framework for creating interactive user interfaces and parameter controls for audio processors. It also provides a real-time audio library that utilizes hardware acceleration and asynchronous task management to mainta

    Employs hardware acceleration to optimize iteration over audio samples and blocks for lower latency.

    Rustclapframeworknih-plug
    Vezi pe GitHub↗2,634
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  2. Operating Systems & Systems Programming
  3. Hardware Interfacing and Drivers
  4. Hardware Acceleration
  5. Audio Acceleration