Online or onsite, instructor-led live Speech Recognition training courses demonstrate through interactive hands-on practice the fundamentals and advanced concepts of Speech Recognition.
Speech Recognition training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Speech Recognition trainings in Denver can be carried out locally on customer premises or in NobleProg corporate training centers.
Speech Recognition is also known as Voice Recognition, Speech Technology, and Speech to Text (STT).
NobleProg -- Your Local Training Provider
CO, Denver - DTC Corporate Center III
7900 East Union Avenue Suite 1100, Denver, united states, 80237
The office in Denver Corporate is located at the heart of the Denver Tech Center - the district that is home to many of th...
The office in Denver Corporate is located at the heart of the Denver Tech Center - the district that is home to many of the city's major businesses and corporations. The Rocky Mountains can be seen from these 11th-floor offices, as well as the downtown skyline. The Denver Tech Center itself is strategically located at the junction between Interstates 225 and 25. It's minutes away from Belleview Light Rail station, with hotels and restaurants surrounding it. Its state-of-the-art office facilities come with beautiful mountain views.
This instructor-led, live training in Denver (online or onsite) is aimed at beginner-level to intermediate-level software developers and data scientists who wish to implement LLMs in speech recognition and synthesis systems.By the end of this training, participants will be able to:
Understand the role of LLMs in speech technologies.
Implement LLMs for accurate speech recognition and natural-sounding speech synthesis.
Integrate LLMs with speech recognition engines and speech synthesizers.
Evaluate and improve the performance of speech systems using LLMs.
Stay informed about current trends and future directions in speech technologies.
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