What You Need to Know Before
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Starts 6 June 2025 07:08
Ends 6 June 2025
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Overview
Explore NVIDIA's Parakeetv2, an open-weight ASR system that outperforms Whisper. Learn about its features, implementation, and see a demonstration in a Colab notebook.
Syllabus
- Course Introduction
- Fundamentals of Automatic Speech Recognition (ASR)
- NVIDIA Parakeetv2: Features and Architecture
- Implementation of Parakeetv2
- Practical Application in a Colab Notebook
- Performance Evaluation
- Advanced Topics and Insights
- Conclusion and Next Steps
Overview of NVIDIA's Parakeetv2
Comparison with Whisper and other ASR systems
Basic concepts and history of ASR
Key components of ASR systems
Core features of Parakeetv2
Architectural design and innovations
Comparison with previous NVIDIA ASR models
Hardware and software prerequisites
Understanding open weights and their benefits
Integration in different environments
Setting up the Colab environment for Parakeetv2
Step-by-step implementation guide
Analyzing performance and results
Benchmarks against Whisper
Real-world use cases and performance metrics
Future directions and improvements in ASR
Potential industry applications of Parakeetv2
Recap of key learnings
Additional resources for continued learning
Subjects
Computer Science
