SI-SDRi: 25.1SDRi: 25.2Number of parameters (M): 22.5
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Speech Separation
The task of extracting all overlapping speech sources in a given mixed speech signal refers to the Speech Separation. Speech Separation is a special scenario of source separation problem, where the focus is only on the overlapping speech signal sources and other interferences such as music or noise signals are not the main concern of the study. A recent representative Github project can be referred to ClearerVoice-Studio.
<span class="description-source">Source: A Unified Framework for Speech Separation </span>
Image credit: Speech Separation of A Target Speaker Based on Deep Neural Networks
논문
SI-SDRi: 20.5
SI-SNRi: 14.9SDRi: 15.1
SI-SNRi: 15.8SDRi: 15.9PESQ: 3.21STOI: 0.949
SI-SDRi: 22.7SDRi: 22.9
SI-SDRi: 22.7Number of parameters (M): 26.2MACs (G): 77
SI-SNRi: 14.3
SI-SDRi: 22.3SDRi: 22.4
SI-SDRi: 24.0
SI-SNRi: 16.4SDRi: 16.6
SI-SDRi: 24.1Number of parameters (M): 55.7
SI-SDRi: 21.2
SI-SDRi: 23.9
SI-SDRi: 25.1SDRi: 25.2Number of parameters (M): 59.4MACs (G): 155.5
SI-SDRi: 22.4
SI-SDRi: 21.3SDRi: 21.5
SI-SDRi: 22.2SDRi: 22.3