Dive into a comprehensive lecture on speech recognition and Graph Transformer Networks, exploring modern techniques and algorithms. Begin with an introduction to contemporary speech recognition methods, then delve into Connectionist Temporal Classification (CTC) and its applications. Learn about decoding with beam search for inference, and conclude with an in-depth look at Graph Transformer Networks. Gain valuable insights from guest lecturer Awni Hannun as he covers these advanced topics in machine learning and natural language processing.
Speech Recognition and Graph Transformer Networks
Overview
Syllabus
– Guest lecturer introduction
– Outline
– Modern speech recognition
– Connectionist temporal classification
– Decoding with beam search inference
– Graph Transformer Networks
Taught by
Alfredo Canziani
