Pitch Estimation

Pitch estimation, the task of identifying the fundamental frequencies present in audio signals, is crucial for numerous applications in music information retrieval and speech processing. Current research emphasizes developing robust and efficient algorithms, often employing deep convolutional neural networks (CNNs), including variations like U-nets and those incorporating self-attention mechanisms, to achieve accurate pitch estimation even in noisy or polyphonic audio. These advancements are driving improvements in tasks such as music transcription, singing voice separation, and speech enhancement, impacting both the accuracy of audio analysis and the development of more sophisticated audio processing tools.