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In general, self help systems are being increasingly deployed by servicebased industries because they are capable of delivering better customer serviceand increasingly the switch is to voice based self help systems because theyprovide a natural interface for a human to interact with a machine. A speechbased self help system ideally needs a speech recognition engine to convertspoken speech to text and in addition a language processing engine to take careof any misrecognitions by the speech recognition engine. Any off-the-shelfspeech recognition engine is generally a combination of acoustic processing andspeech grammar. While this is the norm, we believe that ideally a speechrecognition application should have in addition to a speech recognition enginea separate language processing engine to give the system better performance. Inthis paper, we discuss ways in which the speech recognition engine and thelanguage processing engine can be combined to give a better user experience.

Voice based self help System: User Experience Vs Accuracy