Speech Recognition Training in US

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate software developers and data scientists who are interested in implementing large language models (LLMs) in speech recognition and synthesis systems for government applications. By the end of this training, participants will be able to: - Understand the role of LLMs in speech technologies. - Implement LLMs to enhance the accuracy of speech recognition and produce natural-sounding speech synthesis. - Integrate LLMs with existing 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 for government use.

Speech recognition and transcription using artificial intelligence involves converting spoken language into written text through machine learning models and natural language processing systems. This instructor-led, live training (online or onsite) is designed for intermediate-level professionals who aim to implement, evaluate, and optimize AI-powered speech-to-text solutions for real-world applications in various sectors, including government. By the end of this training, participants will be able to: - Understand how modern speech recognition models are trained and deployed. - Evaluate open-source and commercial APIs for speech-to-text transcription. - Address multilingual and domain-specific transcription challenges. - Develop simple transcription workflows for different audio sources. **Format of the Course** - Interactive lecture and discussion - Numerous exercises and practice sessions - Hands-on implementation in a live-lab environment **Course Customization Options** - To request a customized training for government or other specific needs, please contact us to arrange.