{"id":162727,"date":"2012-06-01T00:00:00","date_gmt":"2012-06-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/conversational-speech-transcription-using-context-dependent-deep-neural-networks-2\/"},"modified":"2018-10-16T20:52:46","modified_gmt":"2018-10-17T03:52:46","slug":"conversational-speech-transcription-using-context-dependent-deep-neural-networks-2","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/conversational-speech-transcription-using-context-dependent-deep-neural-networks-2\/","title":{"rendered":"Conversational Speech Transcription Using Context-Dependent Deep Neural Networks"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Context-Dependent Deep-Neural-Network HMMs, or CD-DNN-HMMs, combine the classic artificial-neural-network HMMs with traditional context-dependent acoustic modeling and deep-belief-network pre-training. CD-DNN-HMMs greatly outperform conventional CD-GMM (Gaussian mixture model) HMMs: The word error rate is reduced by up to one third on the difficult benchmarking task of speaker-independent single-pass transcription of telephone conversations.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Context-Dependent Deep-Neural-Network HMMs, or CD-DNN-HMMs, combine the classic artificial-neural-network HMMs with traditional context-dependent acoustic modeling and deep-belief-network pre-training. CD-DNN-HMMs greatly outperform conventional CD-GMM (Gaussian mixture model) HMMs: The word error rate is reduced by up to one third on the difficult benchmarking task of speaker-independent single-pass transcription of telephone conversations.<\/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":[{"type":"user_nicename","value":"dongyu"},{"type":"user_nicename","value":"fseide"},{"type":"user_nicename","value":"ganl"}],"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"ICML 2012","msr_editors":"","msr_how_published":"","msr_isbn":"","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":"ICML 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