{"id":"https://openalex.org/W3095193086","doi":"https://doi.org/10.21437/interspeech.2020-3230","title":"Utterance Invariant Training for Hybrid Two-Pass End-to-End Speech Recognition","display_name":"Utterance Invariant Training for Hybrid Two-Pass End-to-End Speech Recognition","publication_year":2020,"publication_date":"2020-10-25","ids":{"openalex":"https://openalex.org/W3095193086","doi":"https://doi.org/10.21437/interspeech.2020-3230","mag":"3095193086"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2020-3230","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2020-3230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2020","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113125574","display_name":"Dhananjaya Gowda","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dhananjaya Gowda","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056592130","display_name":"Ankur Kumar","orcid":"https://orcid.org/0000-0002-7686-7335"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ankur Kumar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052377938","display_name":"Kwangyoun Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kwangyoun Kim","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040182373","display_name":"Hejung Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hejung Yang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043920881","display_name":"Abhinav Garg","orcid":"https://orcid.org/0000-0001-5082-5500"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abhinav Garg","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072672307","display_name":"Sachin Singh","orcid":"https://orcid.org/0000-0003-2788-5462"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sachin Singh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396580","display_name":"Jiyeon Kim","orcid":"https://orcid.org/0000-0001-7964-5060"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiyeon Kim","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065995328","display_name":"Mehul Kumar","orcid":"https://orcid.org/0000-0001-7341-2362"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mehul Kumar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051087031","display_name":"Sichen Jin","orcid":"https://orcid.org/0000-0002-3357-4364"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sichen Jin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079810318","display_name":"Shatrughan Singh","orcid":"https://orcid.org/0000-0003-3758-3214"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shatrughan Singh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100684422","display_name":"Chanwoo Kim","orcid":"https://orcid.org/0000-0003-0193-8167"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chanwoo Kim","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5113125574"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.193,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83851726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2827","last_page":"2831"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.6912289261817932},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.663402795791626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5874337553977966},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5729456543922424},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.5673065185546875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3694857060909271},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23847606778144836}],"concepts":[{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.6912289261817932},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.663402795791626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5874337553977966},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5729456543922424},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.5673065185546875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3694857060909271},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23847606778144836},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2020-3230","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2020-3230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2020","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W1985371235","https://openalex.org/W1989549063","https://openalex.org/W2002342963","https://openalex.org/W2010362084","https://openalex.org/W2015633636","https://openalex.org/W2048526313","https://openalex.org/W2160306971","https://openalex.org/W2251321385","https://openalex.org/W2296483664","https://openalex.org/W2327501763","https://openalex.org/W2398776621","https://openalex.org/W2404620314","https://openalex.org/W2617258110","https://openalex.org/W2766219058","https://openalex.org/W2799800213","https://openalex.org/W2889374926","https://openalex.org/W2936774411","https://openalex.org/W2962760690","https://openalex.org/W2962940707","https://openalex.org/W2964272710","https://openalex.org/W2972621414","https://openalex.org/W2972799770","https://openalex.org/W2972816482","https://openalex.org/W2973122799","https://openalex.org/W2997454826","https://openalex.org/W3007185811","https://openalex.org/W3007528493","https://openalex.org/W3008587939","https://openalex.org/W3015823121","https://openalex.org/W3094721881","https://openalex.org/W3095867028","https://openalex.org/W3096758108"],"related_works":["https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2038083449","https://openalex.org/W3177678247","https://openalex.org/W1999617572","https://openalex.org/W2944572343","https://openalex.org/W2333799855","https://openalex.org/W2351687372","https://openalex.org/W2004087835","https://openalex.org/W2314871050"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
