It supports several English accents and can be localized to any language. Also, it supports standard telephony as well as web and mobile applications. Being capable of actioning voice commands given to electronic devices such as computers, tablets, smartphones or telephones, the GoVivace’s Automatic Speech Recognition engine finds use in diverse applications.
The engine compares the spoken input with a number of pre-specified possibilities. The entire set of pre-specified possibilities constitute the application’s grammar, which powers the interface between the dialogue-speaker and the back-end processing. The GoVivace’s speech recognition solution needs only very simple grammar but also supports very large grammars for complex tasks such as dates, complex commands, and yellow pages styled complex directory lookups. GoVivace additionally offers consulting services for the construction of complex grammars. Performance tuning is another service, whereby GoVivace troubleshoots poorly performing grammars.
The GoVivace’s speech recognition software can work with both pre-compiled grammars that can be referenced by name, and on-the-fly grammars that evolve as the client uses the application and which can be detected if reused. Both kinds of grammars are stored on the server after compilation, to ensure fast processing.
A key feature of the GoVivace’s Automatic Speech Recognition engine is it uses a statistical language model to understand natural language, which means it is not limited to understanding speech which matches its grammar. Developers integrating the engine into speech recognition systems will appreciate being able to create advanced intuitive natural language processing interfaces boasting of high linguistic intelligence quotients.
GoVivace’s speech recognition software is available in 32 and 64 bit Linux, Windows, and Mac versions, for enterprise and SMB customers.
The GoVivace’s automatic speech recognition solution supports a distributed client/server architecture for easy scaling and to support an ever-growing list of client devices. A load balancer can be used as the front end, and servers added to the system at the back end to allow for redundancy, reliability, and scalability.
The GoVivace’s Automatic Speech Recognition is available in both 32 and 64-bit versions for Linux, Windows, and Mac platforms. A minimum of 4GB of RAM and a 2.0GHz processor is recommended.
Make it easy to navigate self-service interactive voice response applications with GoVivace ASR. Our customers have used the ASR in complex and challenging self-service tasks like handling public transit schedules in noisy roads. Its robustness and reliability allows you to move ahead with confidence. Its flexibility allows for a scalable design.
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