Nuance development is essentially a by-product need that has arisen due to the rise in automation in technology and engineering along with machine learning. In layman´s terms, Nuance technology gives the computer the power to interpret the speech of the user with the help of specific and limited quantity of phrases and words. The most important advantage that Nuance has over other voice recognition technologies is that it does not requires the calibration of user specific speech patterns. This provides the freedom for speaker-independent natural language speech recognition.
The speech recognition engines of Nuance technology is extremely effective in converting text to speech and vice versa. In order to create language models to be incorporated in speech recognition engines, modeled samples of real spoken languages are analyzed and integrated. For better user experience it is essential that the quality of such language models is extremely high and involves various dialects, especially in complex interactions.
One of the most famous and used integration of nuance technology in real world technology is Apple Inc's Siri which uses combined speech recognition and advanced natural language processing. It is an AI which involves both underlying algorithms and improved processing powers of the mobile computing system.
Every Nuance process follows a simple path which starts with the determination of speech input. An audio technology to eliminate background noises is involved and the required audio is then sliced into small sections. The small sections are then analyzed against possible spoken phrases included in the library of the system. The components of Nuance include a nuance license manager, a recognition client, a resource manages, a recognition server, a grammar compiler and a watch dog.
Reviews , Learners(390)
The course on Nuance development involves a balanced combination of theoretical fundamentals involved in speech recognition and various tools required to implement speech recognition, interpretation and reproduction. The trainee will go through an in-depth analysis of the programming and coding techniques that empowers the software to take smart decisions in terms of speech recognition and patterning from a limited library.
1. Overview and history of Nuance
How did the Nuance revolution start and how is it revolutionizing the digital industry?
2. Underlying concepts of Nuance
What are the speech patter formations and library creations in nuance? What are the inherent means and modes of recognizing and converting speech?
3. The Dragon suite of voice tools
The Dragon set of tools provided by nuance consists of a wide variety of tools which help in voice recognition and conversion of speech from voice to text. The tools are available for different platforms and for different industries depending on the various industrial requirements.
Empowering customers to interact with services, technologies and devices in extremely natural ways by using voice and speech
5. Nuance Transcription Engine
The best possible recognition accuracy for self service solutions by understanding and interpreting spoken and touchtone input
6. Nuance Vocalizer
Providing enterprise voice solutions through spoken output engines to enhance IVR experience while making it more personalized and human
7. Nuance voice control
A comprehensive and customizable platform that helps in accessing mobile based or network dependent features, applications, services and content using voice commands
8. Speech Attendant
Driven by voice, a highly scalable auto attendant solution for improving business processes and communications
Providing speech recognition SDK for healthcare Systems offering industrial-grade voice recognition while delivering rapid ROI
10. VoCon tools
Providing noise cancellation and cleaner signals from improved speech recognition and hands-free communication even in noisy environments
11. Voice Biometrics
Using strong authentication procedures by analyzing unique characteristics of the customer's voice
Duration : 40 Hours
Duration : 4-8 Hours