Description
This specialized text by Klapuri provides an in-depth exploration of signal processing methods specifically designed for music transcription applications. The book addresses the complex challenge of automatically converting acoustic music signals into readable musical notation, a fundamental problem in music information retrieval.
The work covers essential topics including audio feature extraction, pitch detection, onset detection, and source separation techniques. Readers will discover practical algorithms and mathematical frameworks that enable computers to analyze and interpret musical content from raw audio data.
Ideal for researchers, engineers, and advanced students in audio signal processing, music technology, and machine learning, this resource bridges the gap between signal processing theory and real-world music transcription applications. The Springer publication ensures rigorous academic treatment of cutting-edge methodologies in the field.
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