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 Maryland 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
MD, Baltimore - Legg Mason Tower
100 International Drive 23rd Floor, Baltimore, united states, 21202
A state-of-the-art, 24-story glass skyscraper that sits on the edge of Baltimore's Inner Harbor is the signature home ...
A state-of-the-art, 24-story glass skyscraper that sits on the edge of Baltimore's Inner Harbor is the signature home of the Legg Mason office. It's located on the 23rd floor of this class-A office development, which is designed by world-renowned architects and boasts panoramic views. The office space benefits from the tower's ‘green' LEED credentials, proximity to Interstate 83 and excellent onsite amenities. Inner Harbor is the chief commercial and tourist destination in Baltimore and part of the Downtown area - the base for many key businesses.
This instructor-led, live training in Maryland (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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