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Explore the untapped potential of audio machine learning projects in this enlightening 33-minute conference talk from MLCon. Delve into the intersection of technology and sound as Natalia Ziemba Jankowska guides you through groundbreaking applications in vocal health analysis. Discover how audio ML is revolutionizing sound classification and gain valuable insights into the future of audio data technology. Whether you're a seasoned professional or a curious enthusiast, gain a deeper understanding of how machine learning is transforming the audio landscape and opening new possibilities for innovation in vocal health and beyond.
