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Resource conservative transformation based unsupervised speaker adaptation

机译:基于资源保守变换的无监督说话人适应

摘要

The present invention discloses a solution for conserving computing resources when implementing transformation based adaptation techniques. The disclosed solution limits the amount of speech data used by real-time adaptation algorithms to compute a transformation, which results in substantial computational savings. Appreciably, application of a transform is a relatively low memory and computationally cheap process compared to memory and resource requirements for computing the transform to be applied.
机译:本发明公开了一种在实现基于变换的自适应技术时节省计算资源的解决方案。所公开的解决方案限制了实时自适应算法用于计算变换的语音数据的数量,这导致大量的计算节省。显然,与用于计算要应用的变换的存储器和资源需求相比,变换的应用是相对较低的存储器并且计算上便宜。

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