Learning With Learned Loss Function: Speech Enhancement With Quality-Net to Improve Perceptual Evaluation of Speech Quality

@article{Fu2020LearningWL,
  title={Learning With Learned Loss Function: Speech Enhancement With Quality-Net to Improve Perceptual Evaluation of Speech Quality},
  author={Szu-Wei Fu and Chien-Feng Liao and Yu Tsao},
  journal={IEEE Signal Processing Letters},
  year={2020},
  volume={27},
  pages={26-30}
}
  • Szu-Wei Fu, Chien-Feng Liao, Yu Tsao
  • Published 2020
  • Computer Science, Engineering, Mathematics
  • IEEE Signal Processing Letters
  • Utilizing a human-perception-related objective function to train a speech enhancement model has become a popular topic recently. The main reason is that the conventional mean squared error (MSE) loss cannot represent auditory perception well. One of the typical human-perception-related metrics, which is the perceptual evaluation of speech quality (PESQ), has been proven to provide a high correlation to the quality scores rated by humans. Owing to its complex and non-differentiable properties… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 40 REFERENCES

    Perceptually Guided Speech Enhancement Using Deep Neural Networks

    Training Supervised Speech Separation System to Improve STOI and PESQ Directly

    VIEW 3 EXCERPTS

    End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks

    VIEW 4 EXCERPTS

    DNN-Based Source Enhancement to Increase Objective Sound Quality Assessment Score

    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    Performance Based Cost Functions for End-to-End Speech Separation

    Complex spectrogram enhancement by convolutional neural network with multi-metrics learning

    Monaural Speech Enhancement Using Deep Neural Networks by Maximizing a Short-Time Objective Intelligibility Measure

    • Morten Kolbæk, Z. Tan, J. Jensen
    • Computer Science, Engineering
    • 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
    • 2018