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Embedded Systems Feel the Beat in New Orleans: Highlights from the IEEE Signal Processing Cup 2017 Student Competition [SP Competitions]
2017
IEEE Signal Processing Magazine
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its financial support for the drum kit rental, and MathWorks for its sponsorship. ...
He is the organizer for the SP Cup since the 2015 edition and the initiator of the Video and Image Processing Cup. ...
Participants then had to design and construct a creative application for their real-time beat-tracking device. ...
doi:10.1109/msp.2017.2698075
fatcat:fxlecim35vh43hi34vm2aai6bm
A Robot Singer With Music Recognition Based On Real-Time Beat Tracking
2008
Zenodo
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We then developed a robot singer with a music recognition function based on proposed real-time beat-tracking for Honda ASIMO. ...
Results
CONCLUSIONS We presented a real-time beat-tracking method for robots which is noise-robust and quickly-adaptable to musical beat changes. ...
doi:10.5281/zenodo.1415108
fatcat:ly42seicdjgbhkoau5wipbhssa
Online audio beat tracking for a dancing robot in the presence of ego-motion noise in a real environment
2012
2012 IEEE International Conference on Robotics and Automation
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This paper presents the design and implementation of a real-time real-world beat tracking system which runs on a dancing robot. ...
It shows improved performance and noise robustness, outperforming our conventional beat tracker (i.e., without ego noise suppression) by 15.2 points in tempo estimation and 15.0 points in beat-times prediction ...
In the line of the former research and envisioning the application of our system in a real-time robotic system freely dancing in a real environment, we propose: 1) The use of a real-time beat tracking ...
doi:10.1109/icra.2012.6224998
dblp:conf/icra/OliveiraINN12
fatcat:puwtwkrftbdanps7r4fzxz5v6y
A robot uses its own microphone to synchronize its steps to musical beats while scatting and singing
2008
2008 IEEE/RSJ International Conference on Intelligent Robots and Systems
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Musical beat tracking is one of the effective technologies for human-robot interaction such as musical sessions. ...
Experimental results showed ten times faster adaptation to tempo changes and high robustness in beat tracking for stepping, scatting and singing noises. ...
ACKNOWLEDGMENTS This research was partially supported by JSPS, Grant-in-Aid for Young Scientists (B) 19700158. ...
doi:10.1109/iros.2008.4650596
dblp:conf/iros/MurataNYTTOHT08
fatcat:oyv7jok4nrgvbmtz7uvdq3uh3q
Intelligent drummer module based on beat-tracking
2021
Ingeniería solidaria
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So, we have developed an automatic musical backing device based on beat-tracking with the real-time operation. ...
As a consequence of the above, there is a scarcity of electronic devices for musical backing based on the beat-tracking technique. ...
Furthermore, in 2018, Al-Hussaini presented a beat tracking algorithm in real-time, light enough to be implemented in an embedded system that predicts the pulse with a variant of dynamic programming; including ...
doi:10.16925/2357-6014.2021.01.08
fatcat:ny2qqa4wijegjgesvmcdjuu244
Convolutional Neural Networks For Real-Time Beat Tracking: A Dancing Robot Application
2017
Zenodo
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Therefore, the predicted next beat that determines the robot's movement, slightly differs from the actual prediction of the real-time beat track-er. ...
It was a prerequisite that the submissions should have been implemented around creative application of a real-time beat tracking algorithm that is embedded on a device. ...
doi:10.5281/zenodo.1417736
fatcat:f2cqtllbgzhhxnkfzcw5lp6v2m
BeatNet: CRNN and Particle Filtering for Online Joint Beat, Downbeat and Meter Tracking
2021
Zenodo
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The online estimation of rhythmic information, such as beat positions, downbeat positions, and meter, is critical for many real-time music applications. ...
The proposed system does not need to be primed with a time signature in order to perform downbeat tracking, and is instead able to estimate meter and adjust the predictions over time. ...
These are typically desirable for human-computer interaction (HCI) systems, which must make immediate predictions, like real-time music accompaniment systems. ...
doi:10.5281/zenodo.5624577
fatcat:5oo5lflvezesbgf2vf5abtwsre
BeatNet: CRNN and Particle Filtering for Online Joint Beat Downbeat and Meter Tracking
[article]
2021
arXiv
pre-print
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The online estimation of rhythmic information, such as beat positions, downbeat positions, and meter, is critical for many real-time music applications. ...
The proposed system does not need to be primed with a time signature in order to perform downbeat tracking, and is instead able to estimate meter and adjust the predictions over time. ...
These are typically desirable for human-computer interaction (HCI) systems, which must make immediate predictions, like real-time music accompaniment systems. ...
arXiv:2108.03576v1
fatcat:jhijnjnm2fcntjqsrdx73eioee
A Real-Time Beat Tracker For Unrestricted Audio Signals
2004
Proceedings of the SMC Conferences
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In [7] a real-time audio based multi-agent beat tracker is developed that uses three kinds of musical knowledge: note onset times, chord changes, drum patterns. ...
Each agent is characterized by a state (its current tempo, his predictions for the next beat times and his current confidence) and a history (the list of accepted beat times). ...
doi:10.5281/zenodo.849141
fatcat:lxv2en62pvhqfpt2n2z7eu444a
OBTAIN: Real-Time Beat Tracking in Audio Signals
[article]
2017
arXiv
pre-print
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In this paper, we design a system in order to perform the real-time beat tracking for an audio signal. We use Onset Strength Signal (OSS) to detect the onsets and estimate the tempos. ...
The real-time performance is tractable visually as illustrated in the simulations. ...
The algorithm proposed in this paper was presented as Sharif University team algorithm and received honorable mention as one of the best teams with excellent beat tracking algorithm and annotation. ...
arXiv:1704.02216v2
fatcat:qijcheehz5dldhfs3kiqwbpp4u
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music
2021
Zenodo
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In addition to the online, real-time-capable setting for performative use cases, automatic instrumentation can also find applications in assistive composing tools in an offline setting. ...
Due to the lack of paired data of original solo music and their full arrangements, we approach automatic instrumentation by learning to separate parts (e.g., voices, instruments and tracks) from their ...
In particular, we consider four variants-(1) raw time as a number, (2) raw beat and position as two numbers, (3) time embedding and (4) beat and position embedding (see Section 4 for the definition of ...
doi:10.5281/zenodo.5624447
fatcat:ydyqpkrajzbo7k6h3ya7szhckm
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music
[article]
2021
arXiv
pre-print
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In addition to the online, real-time-capable setting for performative use cases, automatic instrumentation can also find applications in assistive composing tools in an offline setting. ...
Due to the lack of paired data of original solo music and their full arrangements, we approach automatic instrumentation by learning to separate parts (e.g., voices, instruments and tracks) from their ...
In particular, we consider four variants-(1) raw time as a number, (2) raw beat and position as two numbers, (3) time embedding and (4) beat and position embedding (see Section 4 for the definition of ...
arXiv:2107.05916v2
fatcat:vf4gjnojwjcqvltvqfs6kiqt5u
Learning to Generate Diverse Dance Motions with Transformer
[article]
2020
arXiv
pre-print
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We introduce a complete system for dance motion synthesis, which can generate complex and highly diverse dance sequences given an input music sequence. ...
As motion capture data is limited for the range of dance motions and styles, we introduce a massive dance motion data set that is created from YouTube videos. ...
We thank Yajie Zhao, Mingming He for prof reading, Zhengfei Kuang for editing the demo, Marcel Ramos and Kalle Bladin for the character rigging and rendering, and Pengda Xiang for the data annotation. ...
arXiv:2008.08171v1
fatcat:kp57scjce5cnlejdqpukvhurem
A Robot Musician Interacting With A Human Partner Through Initiative Exchange
2010
Zenodo
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A humanoid robot plays vibraphone exchanging initiative with a human performer by perceivingmultimodal cues in real time. ...
This paper proposes a novel method to realize an initiativeexchange for robot. ...
But, the application is differ-ent from our research because we aim to implement natural interactions in real musical performances. ...
doi:10.5281/zenodo.1177875
fatcat:63uqnykhhjgynefo5urnq6xnmq
Using a Solution Construction Algorithm for Cyclic Shift Network Coding under Multicast Network to the Transformation of Musical Performance Styles
2021
Complexity
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, extracts musical implicit style from the note matrix based on autoencoder, and better eliminates the potential influence of musical content on musical performance style. ...
the intensity of the extracted note feature vector sequence for a specific style, which better learns the intensity variation of different styles of MIDI music. ...
For example, when using symbolic timing and setting the time resolution to 24 ticks per beat, a bar of 4/4 beats with only one track can be represented as a 96 128 dimensional matrix. ...
doi:10.1155/2021/9993396
doaj:0b6a86cd576f4454ae607c46d705d654
fatcat:tyjuj3lxjrgarpjem363jhc7am
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