Transfer learning through perturbation-based in-domain spectrogram augmentation for adult speech recognition

被引：0

作者：

Kadyan, Virender ^{[1
]}

Bawa, Puneet ^{[2
]}

机构：

[1] Speech and Language Research Centre, School of Computer Science, University of Petroleum & Energy Studies (UPES), Energy Acres, Bidholi, Uttarakhand, Dehradun,248007, India

[2] Centre of Excellence for Speech and Multimodal Laboratory, Chitkara University Institute of Engineering & Technology, Chitkara University, Punjab, Rajpura, India

来源：

Neural Computing and Applications | 2022年 / 34卷 / 23期

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Automatic speech recognition system - Data augmentation - Data scarcity - Learning techniques - Overfitting - Pedagogical practices - Punjabi speech recognition - Spectrogram augmentation - Spectrograms - Transfer learning

引用

页码：21015 / 21033

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