LLMs for Speech Recognition and Synthesis Training Course
Large Language Models (LLMs) are utilized across a variety of AI applications, including speech recognition and synthesis, to process and generate human-like text and speech.
This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level software developers and data scientists who want to implement LLMs within speech recognition and synthesis systems.
Upon completion 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.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction to Speech Recognition and Synthesis
- Fundamentals of speech technologies
- Basics of speech recognition systems
- Overview of speech synthesis
Role of LLMs in Speech Technologies
- Understanding LLMs in speech recognition
- LLMs in speech synthesis
- Advantages of LLMs over traditional models
Data for Speech Recognition and Synthesis
- Data collection and processing for speech technologies
- Training data sets for LLMs
- Ethical considerations in data handling
Training LLMs for Speech Applications
- Deep learning techniques in speech recognition
- Neural network architectures for speech synthesis
- Fine-tuning LLMs for specific speech tasks
Implementing LLMs in Speech Systems
- Integration of LLMs with speech recognition engines
- Developing natural-sounding speech synthesizers
- User interface design for speech applications
Testing and Evaluating Speech Systems
- Methods for testing speech recognition accuracy
- Evaluating the naturalness of synthesized speech
- User studies and feedback collection
Challenges and Solutions in Speech Technologies
- Addressing common issues in speech recognition
- Overcoming obstacles in speech synthesis
- Case studies: successful implementations of LLMs
Future Directions in Speech Technologies
- Emerging trends in speech recognition and synthesis
- The role of LLMs in multilingual speech systems
- Innovations and research opportunities
Project and Assessment
- Designing and implementing a speech recognition or synthesis system using LLMs
- Peer reviews and group discussions
- Final assessment and feedback
Summary and Next Steps
Requirements
- An understanding of basic programming concepts
- Experience with Python programming is recommended but not required
- Familiarity with basic machine learning and neural network concepts is beneficial
Audience
- Software developers
- Data scientists
- Product managers
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
Contact us for an exact quote and to hear our latest promotions
(*The final price may vary depending on the technical specialization of the course, the level of customization, the method of delivery and the number of learners)
Need help picking the right course?
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