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Applying AI to Speech Data

Explore the fundamentals of working with speech data, from raw audio waveforms to advanced feature extraction techniques like spectrograms and MFCCs. Learn how to preprocess, normalize, and segment audio for machine learning models. Build and train neural networks for speech classification, and analyze model performance to tackle real-world challenges like voice recognition, transcription, and emotion detection. Perfect for those diving into AI for audio and speech applications!

Lab platform
Lab Info
Level
Intermediate
Last updated
Dec 20, 2024
Duration
30m

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About the author

Danny Sullivan is a former special education teacher and professional baseball player that moved into software development in 2014. He’s experienced with Ruby, Python and JavaScript ecosystems, but enjoys Ruby most for its user friendliness and rapid prototyping capabilities.

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