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 Plovdiv 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
Business Center Plovdiv
Han Kubrat St 1, Plovdiv, Bulgaria, 4017
This is the most modern business center in the city, with all the necessary functionalities, while being located in a green part of the city.
It is about 20 minutes by bus from the main train station as well as the city center.
This instructor-led, live training in Plovdiv (online or onsite) targets beginner to intermediate software developers and data scientists looking to implement LLMs within speech recognition and synthesis systems.
Upon completion of this training, participants will be able to:
Comprehend the role of LLMs in speech technologies.
Implement LLMs to achieve 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 utilizing LLMs.
Stay abreast of current trends and future directions in speech technologies.
Speech recognition and transcription utilizing AI entails converting spoken language into written text via machine learning models and natural language processing systems.
This instructor-led, live training (available online or onsite) targets intermediate-level professionals looking to implement, evaluate, and optimize AI-driven speech-to-text solutions for practical applications.
Upon completion of this training, participants will be able to:
Grasp how contemporary speech recognition models are trained and deployed.
Assess open-source and commercial APIs for speech-to-text transcription.
Address challenges related to multilingual and domain-specific transcription.
Construct simple transcription workflows tailored to various audio sources.
Course Format
Interactive lectures and discussions.
Numerous exercises and practical sessions.
Hands-on implementation in a live-lab environment.
Customization Options for the Course
For customized training requests, please contact us to make arrangements.
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