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README

Neural State Space Machine (SSM) for Speech Enhancement

This is the implemenation code repo for paper "A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models". To appear in Interspeech 2023.

  • Run and Print the Loss
cd S4ND-U-Net_speech_enhancement/model
python S4ND-U-Net.py

Paper

Reference

@article{ku2023multi,
  title={A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models},
  author={Ku, Pin-Jui and Yang, Chao-Han Huck and Siniscalchi, Sabato Marco and Lee, Chin-Hui},
  journal={arXiv preprint arXiv:2306.00331},
  year={2023}
}

Core symbols most depended-on inside this repo

register
called by 9
model/DSSM_modules/s4.py
LinearActivation
called by 9
model/DSSM_modules/components.py
Activation
called by 4
model/DSSM_modules/components.py
_forward
called by 3
model/S4ND-U-Net.py
stft
called by 3
model/base_SE_model.py
istft
called by 3
model/base_SE_model.py
_resynthesis_from_phase
called by 3
model/base_SE_model.py
_broadcast_dims
called by 3
model/DSSM_modules/s4.py

Shape

Method 107
Class 32
Function 25

Languages

Python100%

Modules by API surface

model/DSSM_modules/s4.py70 symbols
model/DSSM_modules/components.py43 symbols
model/DSSM_modules/s4nd.py21 symbols
model/base_SE_model.py10 symbols
model/S4ND-U-Net.py10 symbols
util/dsp.py8 symbols
util/utils.py1 symbols
model/loss.py1 symbols

For agents

$ claude mcp add S4ND-U-Net_speech_enhancement \
  -- python -m otcore.mcp_server <graph>

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