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Part 1: encoder decoder speech recognizer
A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech Recognition
[Detailed Paper Reading] Zipformer: A faster and better encoder for automatic speech recognition
Sequence to Sequence Learning with Encoder-Decoder Neural Network Models by Dr. Ananth Sankar
[Short Review] Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages
Redesiging Neural Architectures for Sequence to Sequence Learning
[Long Review] Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages
Unleashing the Power of Deep Neural Nets in Speech Recognition Technology
Ralf Schlüter: Modeling in automatic speech recognition: beyond Hidden Markov Models
Fall2022-SpeechRecognition&Understanding (Lecture18 - End-to-End ASR - Attention)
Tied & Reduced RNN-T Decoder - (3 minutes introduction)
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition