Adding room dimensions and reverberation time as inputs to a distance-based target speech extraction model improves SDR by about 1.2 dB on unseen simulated and real rooms.
Distance Based Single-Channel Target Speech Extraction
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abstract
This paper aims to achieve single-channel target speech extraction (TSE) in enclosures by solely utilizing distance information. This is the first work that utilizes only distance cues without using speaker physiological information for single-channel TSE. Inspired by recent single-channel Distance-based separation and extraction methods, we introduce a novel model that efficiently fuses distance information with time-frequency (TF) bins for TSE. Experimental results in both single-room and multi-room scenarios demonstrate the feasibility and effectiveness of our approach. This method can also be employed to estimate the distances of different speakers in mixed speech. Online demos are available at https://runwushi.github.io/distance-demo-page.
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Single-Channel Target Speech Extraction Utilizing Distance and Room Clues
Adding room dimensions and reverberation time as inputs to a distance-based target speech extraction model improves SDR by about 1.2 dB on unseen simulated and real rooms.