Multi-Stage Speech Bandwidth Extension with Flexible Sampling Rate Control
arxiv(2024)
摘要
The majority of existing speech bandwidth extension (BWE) methods operate
under the constraint of fixed source and target sampling rates, which limits
their flexibility in practical applications. In this paper, we propose a
multi-stage speech BWE model named MS-BWE, which can handle a set of source and
target sampling rate pairs and achieve flexible extensions of frequency
bandwidth. The proposed MS-BWE model comprises a cascade of BWE blocks, with
each block featuring a dual-stream architecture to realize amplitude and phase
extension, progressively painting the speech frequency bands stage by stage.
The teacher-forcing strategy is employed to mitigate the discrepancy between
training and inference. Experimental results demonstrate that our proposed
MS-BWE is comparable to state-of-the-art speech BWE methods in speech quality.
Regarding generation efficiency, the one-stage generation of MS-BWE can achieve
over one thousand times real-time on GPU and about sixty times on CPU.
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