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yxlu-0102 avatar yxlu-0102 commented on August 26, 2024

Thanks for your interest in our work, I re-downloaded the MP-SENet code in this repo and generated speech with librosa and soundfile respectively. After calculating results by cal_metrics.py, the objective results of both read methods are the same, namely

  • pesq: 3.495735651659734
  • csig: 4.727512378614241
  • cbak: 3.950338723236475
  • covl: 4.224942893521928
  • ssnr: 10.640891073683255
  • stoi: 0.9602032202555391.

These results are consistent with our Interspeech paper. So, this issue is not related to thesoundfile. Perhaps you can check if your dataset is consistent with ours.

from mp-senet.

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