Pinned Repositories
conv-stft
A STFT/iSTFT written up in PyTorch using 1D Convolutions
google-research
Google Research
honk
PyTorch implementations of neural network models for keyword spotting
MetaAF
Control adaptive filters with neural networks.
openvino2tensorflow
This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support.
pyroomacoustics
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
rknn-toolkit2
sndfilter
Algorithms for sound filters, like reverb, dynamic range compression, lowpass, highpass, notch, etc
SpeechMixer
Generate degraded speech with data augmentation
wenet
Production First and Production Ready End-to-End Speech Recognition Toolkit
chopperWang's Repositories
chopperWang/conv-stft
A STFT/iSTFT written up in PyTorch using 1D Convolutions
chopperWang/rknn-toolkit2
chopperWang/MetaAF
Control adaptive filters with neural networks.
chopperWang/pyroomacoustics
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
chopperWang/sndfilter
Algorithms for sound filters, like reverb, dynamic range compression, lowpass, highpass, notch, etc
chopperWang/google-research
Google Research
chopperWang/SpeechMixer
Generate degraded speech with data augmentation
chopperWang/openvino2tensorflow
This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support.
chopperWang/honk
PyTorch implementations of neural network models for keyword spotting