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Efficient Ensemble for Multimodal Punctuation Restoration using Time-Delay Neural Network
Feb. 27, 2024, 5:44 a.m. | Xing Yi Liu, Homayoon Beigi
cs.LG updates on arXiv.org arxiv.org
Abstract: Punctuation restoration plays an essential role in the post-processing procedure of automatic speech recognition, but model efficiency is a key requirement for this task. To that end, we present EfficientPunct, an ensemble method with a multimodal time-delay neural network that outperforms the current best model by 1.0 F1 points, using less than a tenth of its inference network parameters. We streamline a speech recognizer to efficiently output hidden layer acoustic embeddings for punctuation restoration, as …
arxiv cs.cl cs.hc cs.lg cs.sd delay eess.as ensemble multimodal network neural network type
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