{"id":155934,"date":"1998-12-01T00:00:00","date_gmt":"1998-12-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/hmm-based-smoothing-for-concatenative-speech-synthesis\/"},"modified":"2018-10-16T20:10:42","modified_gmt":"2018-10-17T03:10:42","slug":"hmm-based-smoothing-for-concatenative-speech-synthesis","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/hmm-based-smoothing-for-concatenative-speech-synthesis\/","title":{"rendered":"HMM-Based Smoothing for Concatenative Speech Synthesis"},"content":{"rendered":"
This paper will focus on our recent efforts to further improve
\nthe acoustic quality of the Whistler Text-to-Speech engine. We
\nhave developed an advanced smoothing system that a small
\npilot study indicates significantly improves quality. We
\nrepresent speech as being composed of a number of frames,
\nwhere each frame can be synthesized from a parameter vector.
\nEach frame is represented by a state in an HMM, where the
\noutput distribution of each state is a Gaussian random vector
\nconsisting of x and Dx. The set of vectors that maximizes the
\nHMM probability is the representation of the smoothed speech
\noutput. This technique follows our traditional goal of
\ndeveloping methods whose parameters are automatically
\nlearned from data with minimal human intervention. The
\ngeneral framework is demonstrated to be robust by maintaining
\nimproved quality with a significant reduction in data.<\/p>\n<\/div>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
This paper will focus on our recent efforts to further improve the acoustic quality of the Whistler Text-to-Speech engine. We have developed an advanced smoothing system that a small pilot study indicates significantly improves quality. We represent speech as being composed of a number of frames, where each frame can be synthesized from a parameter […]<\/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":"alexac"},{"type":"user_nicename","value":"hon"},{"type":"user_nicename","value":"xdh"}],"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"Proc. of the Int. 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