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Self-optimized spectral correlation method for background music identification

M. Abe, M. Nishiguchi
Proceedings. IEEE International Conference on Multimedia and Expo  
One major application of the method is the identification of broadcast background music corrupted by speech.  ...  Experiments on the identification of background music and the classification of similar TV commercials have shown that this method can identify 100% of target signals with an SNR of −10dB.  ...  SELF-OPTIMIZED SPECTRAL CORRELATION METHOD Characteristics of background music The SNR 1 of the input was set to −10dB.  ... 
doi:10.1109/icme.2002.1035786 dblp:conf/icmcs/AbeN02 fatcat:fszbf2axonfgjbckavfrdyasdm

BigEAR: Inferring the Ambient and Emotional Correlates from Smartphone-Based Acoustic Big Data

Harishchandra Dubey, Matthias R. Mehl, Kunal Mankodiya
2016 2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)  
In the state-of-the-art methods, psychologists and their team have to hear the audio recordings for making these inferences by subjective evaluations that not only are time-consuming and costly, but also  ...  demand manual data coding for thousands of audio files.  ...  OpenS-MILE had been successfully applied for emotion identification in music, speech and other mixed sources, [25] .  ... 
doi:10.1109/chase.2016.46 dblp:conf/chase/DubeyMM16 fatcat:5c2nc76vfba7xoutyt4zeud7ja

Musical Timbre And Emotion: The Identification Of Salient Timbral Features In Sustained Musical Instrument Tones Equalized In Attack Time And Spectral Centroid

Bin Wu, Andrew Horner, Chung Lee
2014 Proceedings of the SMC Conferences  
This correlation was even stronger than average spectral centroid for most emotions. The only other correlation was spectral incoherence for two emotions.  ...  Average spectral centroid significantly correlated for all emotions, and a bigger surprise was that spectral centroid deviation significantly correlated for all emotions.  ... 
doi:10.5281/zenodo.850729 fatcat:7koz5us54ng4zi5oj3dfq7nvzq

Musical experience strengthens the neural representation of sounds important for communication in middle-aged adults

Alexandra Parbery-Clark, Samira Anderson, Emily Hittner, Nina Kraus
2012 Frontiers in Aging Neuroscience  
temporal and spectral features of sound.  ...  Taken together, we suggest that musical experience provides perceptual benefits in an aging population by strengthening the underlying neural pathways necessary for the accurate representation of important  ...  Given that musical training strengthens those skills that decline with age, we argue that the musician's brain provides an optimal model for studying the effects of age on the nervous system.  ... 
doi:10.3389/fnagi.2012.00030 pmid:23189051 pmcid:PMC3504955 fatcat:u2aqlz7k55epxk2tofvuw6b73i

Reliability Measure of a Clinical Test: Appreciation of Music in Cochlear Implantees (AMICI)

Min-Yu Cheng, Jaclyn B. Spitzer, Valeriy Shafiro, Stanley Sheft, Dean Mancuso
2013 Journal of american academy of audiology  
The test consists of four subtests: (1) music versus environmental noise discrimination, (2) musical instrument identification (closed-set), (3) musical style identification (closed-set), and (4) identification  ...  Conclusions- The study showed AMICI is highly reliable for assessing musical perception in CI users.  ...  More insight into music perception by CI users can stimulate further improvements in electrode design and signal processing optimization for music perception.  ... 
doi:10.3766/jaaa.24.10.8 pmid:24384082 pmcid:PMC4219645 fatcat:odfo2dc2njdrbfpxv3tsvacote

Distinguishing Different Emotions Evoked by Music via Electroencephalographic Signals

Yimin Hou, Shuaiqi Chen
2019 Computational Intelligence and Neuroscience  
We extracted 27-dimensional features from each of 12 electrode positions then used correlation-based feature selection method to identify the feature set most strongly related to the original features  ...  However, no study has comprehensively examined music-related EEG features and selected those with the strongest potential for discriminating emotions.  ...  Identification of the EEG signals associated with these emotions may help elucidate the neurological basis for music appreciation, contribute to the development of music programmes for mood therapy [1  ... 
doi:10.1155/2019/3191903 fatcat:x4z54jhacvfevc42ur2hmhwszq

An audio DSP Toolkit for rapid application development in Flash

Travis M. Doll, Raymond Migneco, Jeff J. Scott, Youngmoo E. Kim
2009 2009 IEEE International Workshop on Multimedia Signal Processing  
ActionScript, the primary development language used for Flash, is poorly suited for DSP algorithms.  ...  The Adobe Flash platform has become the de facto standard for developing and deploying media rich web applications and games.  ...  The authors also thank the Drexel RePlay Lab and students in the Game Design Studio for incorporating the DSP Audio Toolkit for Flash in the development of Pulse.  ... 
doi:10.1109/mmsp.2009.5293322 dblp:conf/mmsp/DollMSK09 fatcat:hdix3jywnrbrtcuynilroyyv5e

A Decision-Tree-Based Algorithm for Speech/Music Classification and Segmentation

Yizhar Lavner, Dima Ruinskiy
2009 EURASIP Journal on Audio, Speech, and Music Processing  
In the learning phase, predefined training data is used for computing various time-domain and frequency-domain features, for speech and music signals separately, and estimating the optimal speech/music  ...  We present an efficient algorithm for segmentation of audio signals into speech or music.  ...  Neoran, Director of R&D of Waves Audio, for his valuable discussions and ideas, and Y. Yakir for technical assistance. They also thank D.  ... 
doi:10.1155/2009/239892 fatcat:m4iw3dmqcbgmji2l6emknxzsjq

Being Moved by Unfamiliar Sad Music Is Associated with High Empathy

Tuomas Eerola, Jonna K. Vuoskoski, Hannu Kautiainen
2016 Frontiers in Psychology  
One hundred and two participants were drawn from a representative sample to minimize self-selection bias.  ...  The paradox of enjoying listening to music that evokes sadness is yet to be fully understood.  ...  ACKNOWLEDGMENTS We thank Sara Kolomainen, Katharina Schäfer, Henna Peltola, and Tommi Makkonen for their invaluable assistance in data collection.  ... 
doi:10.3389/fpsyg.2016.01176 pmid:27695424 pmcid:PMC5025521 fatcat:qpvprjrhvbf6xnxqluvdbatrhm

Acoustic Self-Awareness of Autonomous Systems in a World of Sounds

Alexander Schmidt, Heinrich W. Lollmann, Walter Kellermann
2020 Proceedings of the IEEE  
for supporting self-awareness.  ...  Not only generic methods for robust source localization and signal extraction but also specific models and estimation methods for ego-noise based on various learning techniques are discussed.  ...  MUSIC is by far the most used subspace method for SSL in the field of ASs (see [33] - [40] ).  ... 
doi:10.1109/jproc.2020.2977372 fatcat:immaqhfnkna6xdwj3dqlh7qewi

Identifying musical pieces from fMRI data using encoding and decoding models

Sebastian Hoefle, Annerose Engel, Rodrigo Basilio, Vinoo Alluri, Petri Toiviainen, Maurício Cagy, Jorge Moll
2018 Scientific Reports  
Our approach revealed a linear increase in accuracy with duration and a point of optimal model performance for the spatial extent.  ...  Two main applications can be distinguished, namely identification and reconstruction. Identification aims to identify a specific stimulus from a finite stimulus dataset.  ...  We thank Bruno Raphael Melo for his support on adapting pycortex for the visualization of our results.  ... 
doi:10.1038/s41598-018-20732-3 pmid:29396524 pmcid:PMC5797093 fatcat:pnkefnr7qfaldncfwtqnkpkwrm

Audio-Assisted Movie Dialogue Detection

M. Kotti, D. Ververidis, G. Evangelopoulos, I. Panagakis, C. Kotropoulos, P. Maragos, I. Pitas
2008 IEEE transactions on circuits and systems for video technology (Print)  
In particular, the cross-correlation and the magnitude of the corresponding the cross-power spectral density of a pair of indicator functions are input to various classifiers, such as voted perceptrons  ...  , radial basis function networks, random trees, and support vector machines for dialogue/non-dialogue detection.  ...  The corresponding accuracy is 0.905, when there is medium background noise/music, while it drops to 0.747 when the background noise/music is high.  ... 
doi:10.1109/tcsvt.2008.2005613 fatcat:hrujmemtzvhdhppdkz3u7rhaxa

A preliminary report of music-based training for adult cochlear implant users: Rationales and development

Kate Gfeller, Emily Guthe, Virginia Driscoll, Carolyn J. Brown
2015 Cochlear Implants International  
Methods-Prior studies describing experience-based plasticity in response to music training, auditory training for persons with hearing impairment, and music training for cochlear implant recipients were  ...  regarding limitations and advantages associated with parameters for music training with CI users.  ...  Acknowledgments The authors would like to thank all those who took part in this study and Alisha Luymes and Laura Runion for assistance in reviewing trainings prior to dissemination.  ... 
doi:10.1179/1467010015z.000000000269 pmid:26561884 pmcid:PMC4646703 fatcat:h5x7e3vc6vc2hd4civowkhprwa

An Exploratory Study on the Acoustic Musical Properties to Decrease Self-Perceived Anxiety

Emilia Parada-Cabaleiro, Anton Batliner, Markus Schedl
2022 International Journal of Environmental Research and Public Health  
Musical listening is broadly used as an inexpensive and safe method to reduce self-perceived anxiety.  ...  Our study shows that when using classical Western music to reduce self-perceived anxiety, tonal music should be considered.  ...  background.  ... 
doi:10.3390/ijerph19020994 pmid:35055816 pmcid:PMC8775969 fatcat:ndamm2n6w5b2ddplkp3oxjcpkm

Mind Wandering in a Multimodal Reading Setting: Behavior Analysis & Automatic Detection Using Eye-Tracking and an EDA Sensor

Iuliia Brishtel, Anam Ahmad Khan, Thomas Schmidt, Tilman Dingler, Shoya Ishimaru, Andreas Dengel
2020 Sensors  
We find that mind wandering was most frequent in texts for which readers had high expertise and that were combined with sad music.  ...  First, we investigate the effects of text semantics and music on the frequency and type of mind wandering.  ...  Acknowledgments: We would like to thank Benjamin Bischke, for the extensive idea and experience exchange on the Machine Learning topic.  ... 
doi:10.3390/s20092546 pmid:32365724 pmcid:PMC7248717 fatcat:kaebdp7ncbgcvdwv5v7ubxnjsq
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