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. Frankfurt onsite live Speech Recognition trainings 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
Frankfurt am Main
NobleProg Frankfurt, Domstraße 5, Frankfurt am Main, germany, 60528
Overview
Our training facilities are located at Domstrasse 5 in Frankfurt am Main. Located in t...
Overview
Our training facilities are located at Domstrasse 5 in Frankfurt am Main. Located in the old town of the Main metropolis, our premises offer enough space for successful training courses in the heart of the city, within walking distance of the Dom/Römer underground station.
Arrival
The NobleProg training facilities are located in the heart of Frankfurt's Old Town, near the Imperial Cathedral. With the Dom/Römer subway station, there is a central subway stop in the immediate vicinity.
Parking
Parking is allowed in the vicinity of our training rooms, even if the search for a parking space can be a bit more time-consuming depending on the date. Next door there is also the Dom/Römer multi-storey car park.
Local Services
Not far from the cathedral, in the direction of downtown Frankfurt, there are numerous restaurants and bars and within a 5 minute radius there are several hotels.
This instructor-led, live training in Frankfurt (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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