Whether delivered online or onsite, our instructor-led live Speech Recognition training programs guide you through the core principles and sophisticated aspects of the field via interactive, hands-on exercises.
These Speech Recognition courses are offered as either "online live training" or "onsite live training". The online live option (also referred to as "remote live training") is facilitated through an interactive remote desktop. For onsite live training, sessions can be held directly at your customer premises in Lille or at NobleProg's corporate training centers in Lille.
Speech Recognition is also commonly recognized by other terms such as Voice Recognition, Speech Technology, and Speech to Text (STT).
NobleProg -- Your Local Training Provider
Lille, Gare Flandres
NobleProg Lille, 21 Avenue le Corbusier, Lille, france, 59800
In front of Flandres TGV Train Station
From Lille train stations
From Lille-Flandres: the address is essentially right next to the station — about 1–3 minutes on foot.
From Lille-Europe: walk toward Lille-Flandres along Avenue Le Corbusier. It is roughly 5–10 minutes on foot.
So you don't need a bus or metro if you're arriving by train.
If you're coming by bus
The nearest bus stops to Avenue Le Corbusier include Lion d'Or and Jacquet. Several local lines serve the area, including 13, 86, L5 and L91.
This instructor-led, live training in Lille (online or onsite) is designed for 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:
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.
This live training in Lille empowers mid-level professionals to implement and refine AI speech recognition capabilities. Learners will gain the skills to evaluate APIs, navigate multilingual complexities, and construct robust transcription workflows. The curriculum encompasses model architecture, preprocessing techniques, and practical, real-world laboratory exercises.
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