Delivered online or onsite, these instructor-led live Speech Recognition courses demonstrate the fundamentals and advanced concepts of Speech Recognition through interactive, hands-on practice.
Speech Recognition training is available as "online live training" or "onsite live training". Online live training (also known as "remote live training") is conducted via an interactive remote desktop. Onsite live training can be held locally at the customer's premises in Athens or at NobleProg corporate training centres in Athens.
Speech Recognition is also commonly referred to as Voice Recognition, Speech Technology, and Speech to Text (STT).
Take Metro Line 3 (M3) from Airport toward Dimotiko Theatro.
Get off at Evangelismos.
The address is on Vasilissis Sofias Avenue, very close to the station. Evangelismos station is directly on the avenue.
Allow roughly 40–50 minutes total, depending on waiting/walking time.
From Athens Central Railway Station (Larissa Station)
Take the metro to Syntagma and change to Line 3 toward Doukissis Plakentias/Airport.
Get off at Evangelismos.
Walk to No. 46.
By bus
There are several buses running along Vasilissis Sofias Avenue. Nearby stops include Rigilis Street and Syntagma, while the Evangelismos area is served by multiple bus routes.
The metro is generally the simplest option, especially if you're arriving with luggage.
This instructor-led, live training in Athens (online or onsite) targets beginner to intermediate 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:
Grasp the role of LLMs within speech technologies.
Implement LLMs for accurate speech recognition and natural-sounding speech synthesis.
Integrate LLMs with speech recognition engines and speech synthesizers.
Evaluate and enhance the performance of speech systems using LLMs.
Stay informed about current trends and future directions in speech technologies.
This live training on Athens equips intermediate professionals with the skills to implement and optimize AI speech recognition. Participants will learn to evaluate APIs, address multilingual complexities, and construct transcription workflows. The curriculum covers model architectures, preprocessing techniques, and real-world laboratory exercises.
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