DakeQQ/Audio-Denoiser-ONNX

Lean neural real-time acoustic echo cancellation with soft delay estimation - GGML and PyTorch inference

Clean up noisy speech in real time with DPDFNet - open-source streaming speech enhancement for research, audio apps, and edge devices. Includes pretrained models, PyTorch code, ONNX/TFLite inference, 8/16/48 kHz support, and live demos.

An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.

Speed-optimized streaming neural speech enhancement network

🌋LavaSR: Fast Speech restoration and enhancement

Recurrent neural network for audio noise reduction

Noise supression using deep filtering

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages

Utilizes ONNX Runtime to transcribe audio into text.