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 Grenoble 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
Grenoble, Centre Ville Proche Gare
NobleProg Grenoble, 34 avenue Felix Viallet, Grenoble, france, 38000
Training courses can be organised at our premises in Grenoble, at your premises, or remotely.
Training courses are given in...
Training courses can be organised at our premises in Grenoble, at your premises, or remotely.
Training courses are given in English or French. We organise a coordination meeting with the trainer and the participants to adapt the training program to your expectations. The courses consist of interactive discussions, theoretical parts and practical exercises.
The training is available as "live on-site training" or "live remote training". Live on-site training can be conducted locally at the client's premises in Grenoble or at the NobleProg corporate training centers in Grenoble.
Remote e-learning is conducted using an interactive desktop computer. NobleProg is the publisher of the DaDesktop software, which is presented in a video at https://www.dadesktop.com/
This instructor-led, live training in Grenoble (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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