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Oct, 2019
利用低秩变换器实现轻量高效端到端语音识别
Lightweight and Efficient End-to-End Speech Recognition Using Low-Rank Transformer
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Genta Indra Winata, Samuel Cahyawijaya, Zhaojiang Lin, Zihan Liu, Pascale Fung
TL;DR
本研究提出低秩变压器(LRT)神经网络架构,以实现减少网络参数和提高训练推理速度的目标,进而在端对端语音识别任务上实现更好的泛化性能和更低的错误率。
Abstract
High performing deep neural networks come at the cost of computational complexity that limits its practicality for deployment on portable devices. We propose
low-rank transformer
(LRT), a memory-efficient and fast
neura
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