{"id":"doi:10.1109/jstsp.2017.2763455","kind":"article","title":"Hybrid CTC/Attention Architecture for End-to-End Speech Recognition","authors":["Shinji Watanabe","Takaaki Hori","Suyoun Kim","John R. Hershey","Tomoki Hayashi"],"author_count":5,"year":2017,"published":"2017-10-25","venue":"IEEE Journal of Selected Topics in Signal Processing","cited_by":801,"doi":"10.1109/jstsp.2017.2763455","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1109/jstsp.2017.2763455","archive_url":"https://space-kitty.com/papers/doi:10.1109/jstsp.2017.2763455","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W2766219058","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Speech Recognition and Synthesis"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"llm-architectures","name":"LLM Architectures & Pretraining","domain_slug":"ai"}],"cited_in_dossiers":[]}