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Files main checkpoints model_trained_on_dns3.tar model_trained_on_vctk.tar stream test_wavs README.md gtcrn.py infer.py loss.py requirements.txtBreadcrumbs gtcrn/ checkpoints/ Directory actions More optionsLatest commit Cannot retrieve latest commit at this time. HistoryHistory Folders and ...
测试集中的两个典型示例在图5中展示,清楚地显示了GTCRN比RNNoise具有更优的噪声抑制效果。 源代码和音频示例:github.com/Xiaobin-Rong。 四、CONCLUSION 本文介绍了GTCRN,这是一个语音增强模型,仅需要23.7K参数和每秒39.6 MMACs。对DPCRN应用了多种策略,有效地减小了模型规模,同时保持了语音增强性能。实验表明,我们...
This repository is the official implementation of the ICASSP2024 paper: GTCRN: A Speech Enhancement Model Requiring Ultralow Computational Resources. Audio examples are available at Audio examples of GTCRN. About GTCRN Grouped Temporal Convolutional Recurrent Network (GTCRN) is a speech enhancement mod...
import os import torch import soundfile as sf from gtcrn import GTCRN ## load model device = torch.device("cpu") model = GTCRN().eval() ckpt = torch.load(os.path.join('checkpoints', 'model_trained_on_dns3.tar'), map_location=device) model.load_state_dict(ckpt['model']) ## lo...
stream modules onnx_models test_wavs README.md gtcrn.py gtcrn_stream.py test_wavs LICENSE README.md gtcrn.py infer.py loss.py requirements.txt Streaming GTCRN The streaming conversion method used here is consistent with the streaming conversion in theTRT-SErepository. However, we only depl...