2017 INTERSPEECH INTERSPEECH 2017

Music Tempo Estimation Using Sub-Band Synchrony

Abstract

Tempo estimation aims at estimating the pace of a musical piece measured in beats per minute. This paper presents a new tempo estimation method that utilizes coherent energy changes across multiple frequency sub-bands to identify the onsets. A new measure, called the sub-band synchrony, is proposed to detect and quantify the coherent amplitude changes across multiple sub-bands. Given a musical piece, our method first detects the onsets using the sub-band synchrony measure. The periodicity of the resulting onset curve, measured using the autocorrelation function, is used to estimate the tempo value. The performance of the sub-band synchrony based tempo estimation method is evaluated on two music databases. Experimental results indicate a reasonable improvement in performance when compared to conventional methods of tempo estimation.

πŸŒ‰ Interdisciplinary Bridge β€” Computer Vision and Machine Learning
πŸ“ˆ Trend Setter β€” Audio Processing
🧭 Keyword Pioneer β€” music tempo estimation
🐣 Hot Topic Early Bird β€” signal processing
🐝 Cross-Pollinator β€” Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Speech & Audio