H-GTCRN

This repository is the official implementation of the Interspeech2025 paper: A Lightweight Hybrid Dual Channel Speech Enhancement System under Low-SNR Conditions. For more details, please refer to the arXiv preprint.

Figure 1: The framework of our proposed system.

Audio samples

The directory structure of the audio samples is shown below:

    samples
    ├── Samples1
    |   ├── Samples1_clean.wav
    |   ├── Samples1_noisy.wav
    |   ├── Samples1_IVA.wav
    |   ├── Samples1_GTCRN.wav
    |   ├── Samples1_DC_GTCRN.wav
    |   └── Samples1_Proposed.wav
    | ...
    └── Samples3
        ├── Samples3_clean.wav
        ├── Samples3_noisy.wav
        ├── Samples3_IVA.wav
        ├── Samples3_GTCRN.wav
        ├── Samples3_DC_GTCRN.wav
        └── Samples3_Proposed.wav

Credits

We gratefully acknowledge the following resources that made this project possible:

• GTCRN: SOTA lightweight speech enhancement model architecture.
• SE-train: Excellent training code template for DNN-based speech enhancement.
• pyroomacoustics