{"id":320309,"date":"2016-11-11T18:50:01","date_gmt":"2016-11-12T02:50:01","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&p=320309"},"modified":"2017-06-19T09:42:28","modified_gmt":"2017-06-19T16:42:28","slug":"speech-technology-corpus-based-phonetics","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/speech-technology-corpus-based-phonetics\/","title":{"rendered":"Speech Technology for Computational Phonetics and Reading Assessment"},"content":{"rendered":"

This project aims to develop new tools for phonetics research on large speech corpora without requiring traditional phonetic annotations by humans.\u00a0 The idea is to\u00a0adapt tools from speech recognition to replace the costly and time-consuming annotations usually required for phonetics research.<\/p>\n

This project was originally started by an NSF grant “New tools and methods for very-large-scale phonetics researc<\/em>h” to UPenn (opens in new tab)<\/span><\/a>\u00a0and SRI (opens in new tab)<\/span><\/a>, with a Microsoft researcher as a consultant.<\/p>\n

More recently, work on computational phonetics has moved to automatic assessment of read speech in collaboration with Jorge Proen\u00e7a at University of Coimbra, Portugal.<\/p>\n","protected":false},"excerpt":{"rendered":"

This project aims to develop new tools for phonetics research on large speech corpora without requiring traditional phonetic annotations by humans.\u00a0 The idea is to\u00a0adapt tools from speech recognition to replace the costly and time-consuming annotations usually required for phonetics research. This project was originally started by an NSF grant “New tools and methods for […]<\/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":"","footnotes":""},"research-area":[13545],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-320309","msr-project","type-msr-project","status-publish","hentry","msr-research-area-human-language-technologies","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2011-03-01","related-publications":[164508,164509,165199,166194,238081,389081,389093],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[],"msr_research_lab":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/320309","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":2,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/320309\/revisions"}],"predecessor-version":[{"id":389075,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/320309\/revisions\/389075"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=320309"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=320309"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=320309"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=320309"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=320309"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}