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Cross-platform, customizable ML solutions for live and streaming media.
A PyTorch-based Speech Toolkit
macOS System-wide Audio Equalizer & Volume Mixer 🎧
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Effort free video editing!
A library for audio and music analysis, feature extraction.
Data manipulation and transformation for audio signal processing, powered by PyTorch
The collection of pre-trained, state-of-the-art AI models for ailia SDK
MLT Multimedia Framework
FFME: The Advanced WPF MediaElement (based on FFmpeg)
Audio processing by using pytorch 1D convolution network
High-performance audio engine for react-native
scalable audio processing framework and server written in Python
:mega: Python library for audio augmentation
React Library for Audio Equalizers & Filter Visualization
Demo Project of the DSSSP: React Library for Audio Equalizers & Filter Visualization
Urban-WORM (Workflow Of Reproducible Multimodal Inference) is a user-friendly high-level interface that is designed for adding rich and meaningful captions for crow-sourced data with geotags using multimodal models.
A pure Python implementation of Google's ViSQOL (Virtual Speech Quality Objective Listener) for objective audio/speech quality assessment.