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Shengzhou Gao

2 accepted papers

2021

Meta-Adapter: Efficient Cross-Lingual Adaptation With Meta-Learning

ICASSP 2021accepted

Transfer learning from a multilingual model has shown favorable results on low-resource automatic speech recognition (ASR). However, full-model fine-tuning generates a separate model for every target language and is not suitable for deploying and maintaining in production. The key challenge lies in…

Cited by 0SourceScholar
2020

Spoken Language Acquisition Based on Reinforcement Learning and Word Unit Segmentation

ICASSP 2020accepted

The process of spoken-language acquisition has been one of the topics of greatest interest to linguists for decades. By uti-lizing modern machine learning techniques, we simulated this process on computers, which helps to understand it and develop new possibilities of applying this concept on intell…

Cited by 0SourceScholar