Alibaba Cloud Developer
Oct 23, 2018 · Artificial Intelligence
How DFSMN Cuts Speech Synthesis Model Size by 75% While Quadrupling Speed
This paper introduces a Deep Feedforward Sequential Memory Network (DFSMN) for statistical parametric speech synthesis that matches BLSTM quality with only a quarter of the model size and four times faster inference, making it ideal for memory‑constrained, real‑time IoT devices.
DFSMNIoT devicesReal-time inference
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