ELEVATING TRANSCRIPTION ACCURACY IN SPORTS WITH NATURAL LANGUAGE PROCESSING

Traditional transcription tools often struggle with the fast, jargon-heavy language of sports. This session unveils how the Bundesliga leverages Amazon Transcribe, Comprehend, and fuzzy-string matching to improve transcription accuracy in sports commentary dramatically.
You will learn:

• How to build a smarter transcription pipeline using AWS tools
• How custom vocabularies and quality data reduce word errors
• How to apply fuzzy matching and NLP for post-processing
• How to measure and optimize transcription performance

Who Should Attend:
This session is ideal for:

• NLP engineers, data scientists, and machine learning practitioners working in media, sports, or transcription services.
• Professionals with working knowledge of Amazon Transcribe and Amazon Comprehend who are looking to deepen their expertise in customizing and optimizing transcription pipelines for domain-specific use cases.

Prerequisites:

• Familiarity with AWS services, especially Amazon Transcribe and Amazon Comprehend
• Understanding of basic NLP concepts and string-matching algorithms
• Some experience working with structured domain-specific datasets (e.g., sports data, medical terms, legal transcripts)

Why Attend?
By attending this session, you’ll gain exclusive insights into the Bundesliga’s transcription enhancement approach, where data science meets real-world impact. You'll walk away with practical techniques to elevate your transcription workflows, especially in domains with rich, complex vocabulary.
🎯 Let’s make every word count, just like every play on the field.