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	[ICASSP 2020] End-to-End Multi-speaker Speech Recognition with Transformer (Mitsubishi Electric Research Labs (MERL)) View
	ICASSP 2020 - Lightweight and Efficient End-to-End Speech Recognition Using Low-Rank Transformer (Genta Winata) View
	[ICASSP 2020] META LEARNING FOR END-TO-END LOW-RESOURCE SPEECH RECOGNITION (Speaker: Jui-Yang Hsu) (Hung-yi Lee) View
	[ICASSP 2020] WHAT DOES A NETWORK LAYER HEAR (Speaker: Chung-Yi Li) (Hung-yi Lee) View
	[ICASSP 2020] Streaming Automatic Speech Recognition with the Transformer Model (Mitsubishi Electric Research Labs (MERL)) View
	[ICASSP 2020]Unsupervised Speaker Adaptation Using Attention-Based Speaker Memory for End-To-End ASR (Mitsubishi Electric Research Labs (MERL)) View
	Transformer-Transducers for Code-Switched Speech Recognition @ ICASSP2021 (Language Technologies Institute at Carnegie Mellon (LTI at CMU)) View
	Zero-Shot Multi-Speaker Text-To-Speech with State-of-the-art Neural Speaker Embeddings (NII Yamagishi Lab) View
	[ICASSP 2020] ONE-SHOT VOICE CONVERSION BY VECTOR QUANTIZATION (Speaker: Da-Yi Wu) (Hung-yi Lee) View
	Semantic mask for transformer based end to end speech recognition (MLOps Guru) View