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INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising.

, , , , и . INTERSPEECH, стр. 2467-2471. ISCA, (2020)

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Joseph Strake

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Engelbert Strake

Engelbert Strake

 

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On Temporal Context Information for Hybrid BLSTM-Based Phoneme Recognition., , и . ASRU, стр. 516-523. IEEE, (2019)Fully Convolutional Recurrent Networks for Speech Enhancement., , , , и . ICASSP, стр. 6674-6678. IEEE, (2020)Artificial bandwidth extension using deep neural networks for spectral envelope estimation., , и . IWAENC, стр. 1-5. IEEE, (2016)Self-Attention With Restricted Time Context And Resolution In Dnn Speech Enhancement., , и . IWAENC, стр. 1-5. IEEE, (2022)Does a PESQNet (Loss) Require a Clean Reference Input? The Original PESQ Does, But ACR Listening Tests Don't., , и . IWAENC, стр. 1-5. IEEE, (2022)A Simple Cepstral Domain DNN Approach to Artificial Speech Bandwidth Extension., , и . ICASSP, стр. 5469-5473. IEEE, (2018)Y2-Net FCRN for Acoustic Echo and Noise Suppression., , , и . Interspeech, стр. 4763-4767. ISCA, (2021)Deep Noise Suppression with Non-Intrusive PESQNet Supervision Enabling the Use of Real Training Data., , и . Interspeech, стр. 2806-2810. ISCA, (2021)Concatenated Identical DNN (CI-DNN) to Reduce Noise-Type Dependence in DNN-Based Speech Enhancement., , и . EUSIPCO, стр. 1-5. IEEE, (2019)Densenet Blstm for Acoustic Modeling in Robust ASR., , , и . SLT, стр. 6-12. IEEE, (2018)