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BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Penn Engineering Events - ECPv6.18.0//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Penn Engineering Events X-ORIGINAL-URL:https://seasevents.nmsdev7.com X-WR-CALDESC:Events for Penn Engineering Events REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20190310T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20191103T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20200308T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20201101T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20210314T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20211107T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20200915T150000 DTEND;TZID=America/New_York:20200915T160000 DTSTAMP:20200911T144535Z CREATED:20200911T144535Z LAST-MODIFIED:20200911T144535Z UID:3349-1600182000-1600185600@seasevents.nmsdev7.com SUMMARY:CIS Seminar: "Recovering\, manipulating and enhancing recorded speech (1905-2020)" DESCRIPTION:This talk will survey several recent projects dealing with recorded speech. The first explores \nan optical process for recovering sound recorded onto postcards using a forgotten technology \nfrom more than a century ago. This involves scanning the postcard at multiple orientations using \na flatbed scanner\, and then reconstructing the fine scale surface texture of the card (where the \naudio is encoded) using photometric stereo\, a technique from computer vision. We will then \ndiscuss more modern applications as well\, including a text-based interface for editing recorded \naudio narration that is capable of synthesizing new words matching the voice of the narrator. \nFinally\, given that real-world audio recordings are often degraded by factors such as noise\, \nreverberation\, and equalization distortion\, we will also introduce a deep learning method to \ntransform recorded speech to sound as though it had been recorded in a studio. URL:https://seasevents.nmsdev7.com/event/cis-seminar-recovering-manipulating-and-enhancing-recorded-speech-1905-2020/ LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu CATEGORIES:Distinguished Lecture END:VEVENT END:VCALENDAR