Published Paper Details:

Pitch detection is a vital aspect of music signal processing and has numerous applications in areas such as speech recognition, music transcription, and audio compression. The paper presents a novel approach to pitch detection using autocorrelation and the Web Audio API. The approach involves capturing audio input from a microphone and using the Web Audio API to perform autocorrelation on the audio signal. Applying a peak-picking algorithm to the autocorrelation function to identify the fundamental frequency, which in turn gives the pitch of the audio signal. The approach is validated and compared with other pitch detection algorithms, and demonstrate that our method is both accurate and efficient.Overall, the approach to pitch detection using autocorrelation and the Web Audio API represents a promising avenue for future research in music signal processing and has the potential to facilitate the development of new applications in this field.