2016-02-02 19:37:24 +00:00
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# Version history
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2016-10-14 19:04:13 +00:00
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## Version 1.1.0
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* **More reliable speech recognition**
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The first step in automatic lip-sync is speech recognition.
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Rhubarb Lip-Sync 1.1.0 recognizes spoken dialog more accurately, especially at the beginning of recordings.
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This improves the overall quality of the resulting animation.
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* **More accurate breath detection**
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Rhubarb Lip-Sync animates not only dialog, but also noises such as taking a breath.
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For this version, the accuracy of breath detection has been improved.
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You shouldn't see actors opening their mouth for no reason any more.
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* **Better animation of short pauses**
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During short pauses between words or sentences (up to 0.35s), the mouth is kept open.
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Now, this open mouth shape is chosen based on the previous and following mouth shapes.
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This gives pauses in speech a more natural, less mechanical look.
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* **Builds on Linux**
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In addition to Windows and OS X, Rhubarb Lip-Sync can now be built on Linux systems.
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I'm not offering binary distributions for Linux at this time.
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To build the application yourself, you need CMake, Boost, and a C++14-compatible compiler.
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2016-08-11 13:54:14 +00:00
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## Version 1.0.0
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* More realistic animation using new, predictive algorithm
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* Smoother animation due to tweening
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* Support for non-dialog noises (breathing, smacking, etc.)
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* Substantial speed improvement through multithreading
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* More reliable voice recognition
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* Support for long recordings (I've tested a 30-minute file)
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* Recording may deviate from specified dialog text
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* Specified dialog text may contain unknown words as well as numbers, abbreviations, etc.
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## Version 0.2.0
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2016-04-13 06:59:47 +00:00
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* Multiple output formats: TSV, XML, JSON
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* Experimental option to supply dialog text
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* Improved error handling and error messages
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2016-08-11 13:54:14 +00:00
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## Version 0.1.0
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2016-02-02 19:37:24 +00:00
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* Two-pass phone detection using [CMU PocketSphinx](http://cmusphinx.sourceforge.net/)
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* Fixed set of eight mouth shapes, based on the Hanna-Barbera shapes
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2016-10-14 19:04:13 +00:00
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* Naive (but well-tuned) mapping from phones to mouth shapes
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