Tempo and Beat Tracking

Evaluation of Audio Beat Tracking and Music Tempo Extraction Algorithms

Journal of New Music Research ◽

10.1080/09298210701653252 ◽

2007 ◽

Vol 36 (1) ◽

pp. 1-16 ◽

Cited By ~ 51

Author(s):

M. F. McKinney ◽

D. Moelants ◽

M. E. P. Davies ◽

A. Klapuri

Keyword(s):

Beat Tracking

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A music dancing robot based on beat tracking of musical signal

2010 IEEE International Conference on Robotics and Biomimetics ◽

10.1109/robio.2010.5723558 ◽

2010 ◽

Cited By ~ 2

Author(s):

Qiao Gao ◽

Bin Zhang ◽

Xinyu Wu ◽

Zhu Cheng ◽

Yongsheng Ou ◽

...

Keyword(s):

Beat Tracking

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Speech rates converge in scripted turn-taking conversations

Applied Psycholinguistics ◽

10.1017/s0142716415000545 ◽

2015 ◽

Vol 37 (5) ◽

pp. 1201-1220 ◽

Cited By ~ 15

Author(s):

BENJAMIN G. SCHULTZ ◽

IRENA O’BRIEN ◽

NATALIE PHILLIPS ◽

DAVID H. McFARLAND ◽

DEBRA TITONE ◽

...

Keyword(s):

Speech Rate ◽

Tracking Algorithm ◽

Acoustic Features ◽

Interbeat Interval ◽

Beat Tracking ◽

Turn Taking ◽

Fast Condition ◽

Slow Condition ◽

The Mean ◽

The Difference

ABSTRACTWhen speakers engage in conversation, acoustic features of their utterances sometimes converge. We examined how the speech rate of participants changed when a confederate spoke at fast or slow rates during readings of scripted dialogues. A beat-tracking algorithm extracted the periodic relations between stressed syllables (beats) from acoustic recordings. The mean interbeat interval (IBI) between successive stressed syllables was compared across speech rates. Participants’ IBIs were smaller in the fast condition than in the slow condition; the difference between participants’ and the confederate's IBIs decreased across utterances. Cross-correlational analyses demonstrated mutual influences between speakers, with greater impact of the confederate on participants’ beat rates than vice versa. Beat rates converged in scripted conversations, suggesting speakers mutually entrain to one another's beat.

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