Speech-to-Text with Whisper AI

Whisper AI, known for its high accuracy and efficiency, is transforming the way we convert spoken language into written text. This workshop provides an overview of Whisper AI's architecture and features, and covers the process of building, training, and deploying speech-to-text models. We will explore real-world applications such as automatic transcription, and look at ways to effectively evaluate our output (such as WER scores) .

With a practical coding examples, we will cover handling speech data in various languages, to achieve high-quality transcription, and explore ways of creating pipelines in Python to save and process our outputs.

Join us for an engaging and accessible introduction to Natural Language Processing (NLP) and its practical applications for everyday tasks! In "NLP for All," we will explore the fundamental concepts behind NLP: From understanding how computers interpret human language; to discovering how to improve search queries, use regular expressions, find datasets, and learn about pipelines for working with language. Whether you're curious about chatbots, voice assistants, or automated text transcription and analysis, this series will demystify popular technologies and show you how they work.

• Foundations of NLP: Gain a solid grasp of NLP concepts and terminology without needing a technical background.
• Real-World Applications: Explore practical uses of NLP in various contexts, such as improving search and information retrieval, generating and evaluating automatic transcriptions, and working with popular libraries such as spaCy, PyTorch and scikit-learn.
• Hands-On Experience: We will illustrate NLP concepts in action with a well-documented code notebook, aimed at solving practical examples. We will also explore online sources for NLP tools and datasets, such as HuggingFace.

• A Google account to run Google Colab (where we will do most of our programming exercises)
• Basic knowledge of Python. You can brush up python fundamentals with Software Carpentry's Introduction to Python (section 1).

SERIES: Natural Language Processing for All

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When:  Thursdays, 3-4 pm, Sept. 5 - Oct. 24, 2024
Where: Weaver Science-Engineering Library, Rm 212 and on  Zoom
Instructors: Megh Krishnaswamy
YouTube: Links will be added after the workshops have been presented

Workshop Materials

• 09/05  Introduction to NLP with SpaCy 

• 09/12  Regular Expressions for NLP  

• 09/19  NLP with Recurrent Neural Networks  

• 09/26  Introduction to Semantic Search  

• 10/03  Introduction to Information Extraction  

• 10/10  Text pre-processing for NLP  

• 10/17  Introduction to Speech Technology 

• 10/24  Speech-to-Text with Whisper AI 

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