Input:

• Digital audio files (.mp3, .wav, etc.) are uploaded by the user.

Pre-processing:

• Applies signal processing techniques to enhance isolate musical components.

• Segments audio into discrete events/"hits" (chords, notes, etc.).

• Extracts relevant features, such as pitch and duration, using techniques like Fourier Transform, Spectrogram Analysis, or Deep Learning-based methods.

Transcription Algorithm:

• Utilizes machine learning algorithms (e.g. Neural Networks) or rule-based techniques to map extracted features to musical notations.

• Considers musical rules and probabilistic models for accurate transcription.

Output:

• Generates sheet music or MIDI sequences depending on user preference.