Qifusion-Net: Layer-adapted Stream/Non-stream Model for End-to-End Multi-Accent Speech Recognition

Currently, end-to-end (E2E) speech recognition methods have achieved promising performance. However, auto speech recognition (ASR) models still face challenges in recognizing multi-accent speech accurately. We propose a layer-adapted fusion (LAF) model, called Qifusion-Net, which does not require an...

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Bibliographische Detailangaben

Hauptverfasser:	Chen, Jinming, Fang, Jingyi, Zheng, Yuanzhong, Wang, Yaoxuan, Fei, Haojun
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Sound
Online-Zugang:	Volltext bestellen
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