CleanMel
Pytorch implementation of "CleanMel: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR".
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Download Latest Version (.zip)- inference.yaml
- test.yaml
- train.yaml
- cleanmel_offline.yaml
- cleanmel_online.yaml
- vocos_offline.yaml
- vocos_online.yaml
- collate_func.py
- mix.py
- my_distributed_sampler.py
- inference_dataloader.py
- README.md
- SPencn_NSdns_RIRreal.py
- SPencn_NSdns_RIRreal_rts.py
- cleanmel.py
- __init__.py
- norm.py
- stft.py
- __init__.py
- base_cli.py
- dnsmos.py
- flops.py
- general_steps.py
- metrics.py
- my_json_encoder.py
- my_logger.py
- my_progress_bar.py
- my_rich_progress_bar.py
- my_save_config_callback.py
- README.md
- weightavg.py
- __init__.py
- dataset.py
- discriminators.py
- experiment.py
- feature_extractors.py
- heads.py
- helpers.py
- loss.py
- models.py
- modules.py
- pretrained.py
- spectral_ops.py
- __init__.py
- dataset.py
- experiment.py
- heads.py
- models.py
- modules.py
- pretrained.py
- __init__.py
- CleanMelTrainer_map.py
- CleanMelTrainer_mask.py
- README.md
- inference.sh
- test.sh
- train.sh
- noisy_CHIME-real_F05_442C020S_STR_REAL.wav
- noisy_CHIME-real_M06_440C020G_CAF_REAL.wav
- noisy_CHIME-simu_F05_447C020H_STR.wav
- noisy_CHIME-simu_M06_442C020J_BUS.wav
- noisy_DNS_I_test-no_reverb_clnsp355_bus_84241_5_snr1_tl-33_fileid_59.wav
- noisy_DNS_I_test-no_reverb_clnsp399_squeaky_213909_0_snr10_tl-30_fileid_181.wav
- noisy_DNS_I_test-with_reverb_clnsp283_birds_121947_1_snr2_tl-26_fileid_49.wav
- noisy_DNS_I_test-with_reverb_clnsp640_barking_196127_1_snr19_tl-19_fileid_218.wav
- noisy_EARs_00220.wav
- noisy_EARs_00702.wav
- noisy_RealMAN_static_TEST_S_OFR3_P0006_P0006W0057_CH0.wav
- noisy_RealMAN_static_TEST_S_UND2_0023_0252_CH0.wav
- noisy_REVERB-real_t25_RealData_et_for_1ch_near_room1_A_t25c020j.wav
- noisy_REVERB-real_t36_RealData_et_for_1ch_far_room1_A_t36c020r.wav
- noisy_REVERB-simu_c44_SimData_et_for_1ch_far_room1_A_c44c020p.wav
- noisy_REVERB-simu_c48_SimData_et_for_1ch_near_room1_A_c48c020i.wav
- asr_performance.png
- cleanmel_arch.png
- dnsmos_performance.png
- pesq_performance.png
- noisy_CHIME-real_F05_442C020S_STR_REAL.npy
- noisy_CHIME-real_F05_442C020S_STR_REAL.wav
- noisy_CHIME-real_F05_442C020S_STR_REAL.npy
- noisy_CHIME-real_F05_442C020S_STR_REAL.wav
- noisy_CHIME-real_F05_442C020S_STR_REAL.npy
- noisy_CHIME-real_F05_442C020S_STR_REAL.wav
- noisy_CHIME-real_F05_442C020S_STR_REAL.npy
- noisy_CHIME-real_F05_442C020S_STR_REAL.wav
- check_CHIME-real_F05_442C020S_STR_REAL.npy
- noisy_CHIME-real_F05_442C020S_STR_REAL.png
- .gitignore
- app.py
- LICENSE
- README.md
- requirements.txt
# Installation Guide
1. Get the code
git clone https://github.com/Audio-WestlakeU/CleanMel
Downloads the entire project code from GitHub to your computer.
cd CleanMel
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
pip install -r requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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