Pitch Estimation of the Predominant Vocal Melody from Heterophonic Music Audio Recordings (original) (raw)

Music being an industry with a vast digital presence, today, we have access to a large number of audio music recordings online as well as stored locally on computers, cell phones, ipads, to name a few devices. Many non-western music cultures have also made a large digital presence over the last two decades. This opens up many windows for applications with state of the art archving, automatic tagging, lyrics to audio alignment and automatic indexing of music using a vast number of cues from the user inputs. It also opens up many avenues for meaningful musical analysis of various music traditions computationally. Melody being one of the most basic entities, predominant pitch is one of the fundamental representations used in all these tasks. In this work we deal with the pitch estimation of the predominant vocal melody from heterophonic music audio recordings. We provide a novel approach for pitch estimation using a combination of the present state of the art and timbral characteristic...