Novel techniques in speech recognition are often hampered by the long road that must be followed to turn them into fully functional systems capable of competing with the state-of-the-art. In the 2010 JHU summer workshop, we explored the use of Segmental Conditional Random Fields as an integrating technology to augment the best conventional systems with information from novel scientific approaches.<\/p>\n","protected":false},"excerpt":{"rendered":"
Novel techniques in speech recognition are often hampered by the long road that must be followed to turn them into fully functional systems capable of competing with the state-of-the-art. 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