Search Results for "gpu processing"

A set of AI-enabled effects, generators, and analyzers for Audacity. These AI features run 100% locally on your PC, no internet connection is necessary. OpenVINO™ is used to run AI models on supported accelerators found on the user's system such as CPU, GPU, and NPU.

...It implements techniques from state-of-the-art diffusion-based avatar modeling to support infinite-length continuous video generation with low latency, enabling interactive AI avatars that maintain continuity and realism over extended sessions. The project co-designs algorithms and system optimizations, such as block-wise autoregressive processing and fast sampling strategies, to deliver real-time frame rates (e.g., ~45 FPS on appropriate GPU clusters) while handling non-stop generation without quality degradation. LiveAvatar focuses on delivering not just high-quality visuals but also the responsiveness necessary for immersive conversational experiences, making it suitable for advanced AI agents, virtual assistants, and interactive streaming contexts.

...Audio analysis is performed locally. Source recordings are not uploaded, and no account is required. Network access may be used for requested downloads and update checks when enabled. CPU processing is available by default. Optional GPU acceleration can reduce processing time on compatible hardware. Website: https://www.justagwas.com/projects/a2m GitHub: https://github.com/Justagwas/A2M Docs: https://github.com/Justagwas/A2M/wiki VirusTotal: https://www.virustotal.com/gui/file/898c575338ee010597d1224dc5da8f3db9f35191f5ed1c91752f52d55b1211c

AudioEnhancerMAX 3.7 is an open-source, local-first audio production suite for podcasters, creators, journalists, educators, researchers, and developers. It combines deterministic Smart Enhance diagnosis, non-destructive transcript-linked speech editing, audio cleanup and mastering, local Faster-Whisper transcription, delivery profiles, review tools, TTS, system monitoring, and optional trusted-LAN Android workers. The native Apple Silicon app runs in its own macOS window; its private...

VCClient is a real-time voice conversion system that uses machine learning models to transform a speaker’s voice into another voice with minimal latency. It is designed for live applications such as streaming, gaming, and virtual communication, where immediate feedback is essential. The system supports multiple voice conversion models, including RVC and other neural network-based approaches, allowing users to switch between different voices or customize their output. It provides both a...

IPTV/Video cloud Features: Cross-platform (Linux, MacOSX, FreeBSD, Raspbian/Armbian) GPU/CPU Encode/Decode/Post Processing Stream statistics CCTV Adaptive hls streams Load balancing Temporary urls HLS push EPG scanning Subtitles to text conversions AD insertion Logo overlay Video effects Relays Timeshifts Catchups Playlists Restream/Transcode from online streaming services like Youtube, Twitch Mozaic Many Outputs Physical Inputs Streaming Protocols File Formats Presets Vods/Series server-side support Pay per view channels Channels on demand HTTP Live Streaming (HLS) server-side support Public API, client server communication via JSON RPC Protocol gzip compression Deep learning video analysis Supported deep learning frameworks: Tensorflow NCSDK Caffe ML Hardware:

A fast feature extraction software tool for speech analysis and processing. It incorporates standard MFCC, PLP, and TRAPS features. The tool is a specially designed to process very large audio data sets. It uses GPU acceleration if compatible GPU available (CUDA as weel as OpenCL, NVIDIA, AMD, and Intel GPUs are supported). CPU SSE intrinsic instruction set is used in cases where no compatible GPU present.