Neural Audio Codec: What Determines the Rate–Distortion Ceiling of Scalar-Quantized Speech Codecs?
A fractal coding framework for audio data
A neural codec for speech compression using contextual features and adversarial training. This project implements a high-quality, low-latency speech compression system based on cognitive speech processing principles. Paper: Cognitive Speech Compression with Dual-Context Features Features
Mini SoundStream-style neural audio codec trained on LibriSpeech: 4-codebook RVQ, 3 bitrates, ONNX export
Speech reconstruction and compression with autoencoders
Browser voice-QR and push-to-talk app using neural speech compression, WebAssembly, local model caching, and a real-time edge relay.
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