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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 0Source ↗Scholar ↗
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 10Source ↗Scholar ↗