#onnx

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

very fast speech-to-text, diarization, streaming (even in CPU) with NVIDIA Parakeet in Rust

A lightweight Python package for Automatic Speech Recognition using ONNX models

Visualizer for neural network, deep learning and machine learning models

ONNXMLTools enables conversion of models to ONNX

State of the Art Natural Language Processing