{"id":398951,"date":"2017-07-11T12:05:52","date_gmt":"2017-07-11T19:05:52","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=398951"},"modified":"2018-10-16T20:03:40","modified_gmt":"2018-10-17T03:03:40","slug":"search-organization-whisper-continuous-speech-recognition-system","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/search-organization-whisper-continuous-speech-recognition-system\/","title":{"rendered":"Search organization in the Whisper continuous speech recognition system"},"content":{"rendered":"<div id=\"LayoutWrapper\">\n<div class=\"ng-scope\">\n<div>\n<div class=\"pure-g document stats-document ng-isolate-scope\">\n<section class=\"tab-pane pure-u-1-1 u-printing-display-inline-ie u-printing-display-inline-ff\">\n<div class=\"ng-scope\">\n<div class=\"ng-scope\">\n<section id=\"659022\" class=\"pure-u-1-1 document-abstract document-tab u-p-2 ng-isolate-scope\">\n<div class=\"pure-g\">\n<div class=\"ng-scope pure-u-1-1\">\n<div class=\"ng-scope\">\n<div class=\"abstract-text ng-binding\">Since the earliest days of computing, automatic speech recognition technology has ridden the technology wave that has come to be known as Moore&#8217;s law. This is vividly illustrated by the market introduction of several general-purpose continuous speech recognition products. Besides Moore&#8217;s law, the two things that have made this possible have been advances in acoustic modeling, especially adaptation technologies, and advances in decoding techniques that permit real-time performance on today&#8217;s PCs. This paper discusses our approach to the decoding problem, including the role of heuristic pruning, the A* criteria and its relation to Viterbi searching and stack searching, as well our approach to problems relating to prefix-tree searching and the application of language models and complex acoustic structures, such as cross-word triphones.<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Since the earliest days of computing, automatic speech recognition technology has ridden the technology wave that has come to be known as Moore&#8217;s law. This is vividly illustrated by the market introduction of several general-purpose continuous speech recognition products. Besides Moore&#8217;s law, the two things that have made this possible have been advances in acoustic [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"1997 IEEE Workshop on Automatic Speech Recognition and Understanding","msr_editors":"","msr_how_published":"","msr_isbn":"0-7803-3698-4","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"1997 IEEE Workshop on Automatic Speech Recognition and Understanding","msr_doi":"10.1109\/ASRU.1997.659022","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"","msr_other_contributors":"","msr_speaker":"","msr_award":"","msr_affiliation":"","msr_institution":"","msr_host":"","msr_version":"","msr_duration":"","msr_original_fields_of_study":"","msr_release_tracker_id":"","msr_s2_match_type":"","msr_citation_count_updated":"","msr_published_date":"1997-12-17","msr_highlight_text":"","msr_notes":"","msr_longbiography":"","msr_publicationurl":"http:\/\/ieeexplore.ieee.org\/document\/659022\/","msr_external_url":"","msr_secondary_video_url":"","msr_conference_url":"","msr_journal_url":"","msr_s2_pdf_url":"","msr_year":0,"msr_citation_count":0,"msr_influential_citations":0,"msr_reference_count":0,"msr_s2_match_confidence":0,"msr_microsoftintellectualproperty":true,"msr_s2_open_access":false,"msr_s2_author_ids":[],"msr_pub_ids":[],"msr_hide_image_in_river":0,"footnotes":""},"msr-research-highlight":[],"research-area":[13545],"msr-publication-type":[193716],"msr-publisher":[],"msr-focus-area":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-398951","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-language-technologies","msr-locale-en_us"],"msr_publishername":"","msr_edition":"1997 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