Singing voice detection in music tracks using direct voice vibrato detection

In this paper we investigate the problem of locating singing voice in music tracks. As opposed to most existing methods for this task, we rely on the extraction of the characteristics specific to singing voice. In our approach we suppose that the singing voice is characterized by harmonicity, formants, vibrato and tremolo. In the present study we deal only with the vibrato and tremolo characteristics. For this, we first extract sinusoidal partials from the musical audio signal . The frequency modulation (vibrato) and amplitude modulation (tremolo) of each partial are then studied to determine if the partial corresponds to singing voice and hence the corresponding segment is supposed to contain singing voice. For this we estimate for each partial the rate (frequency of the modulations) and the extent (amplitude of modulation) of both vibrato and tremolo. A partial selection is then operated based on these values. A second criteria based on harmonicity is also introduced. Based on this,...

• Type: Conference
• Year: 2009
• Where: ICASSP
• Authors: Lise Regnier, Geoffroy Peeters
• Keywords: ICASSP 2009, Machine Learning Approach, Signal Processing, Singing Voice, Vibrato