Ajay Srinivasamurthy

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Xavier SerraDepartment of Information and Communication Technologies, Universitat Pompeu Fabra (UPF), BarcelonaAdresse e-mail validée de upf.edu
Andre HolzapfelAssociate Professor, Royal Institute of TechnologyAdresse e-mail validée de kth.se
Youssef OualilSiri Speech, Apple Inc.Adresse e-mail validée de apple.com
Petr MotlicekIdiap Research InstituteAdresse e-mail validée de idiap.ch
Parag ChordiaChief Technology Officer, TelepathicAdresse e-mail validée de telepathic.tv
Sankalp GulatiData Scientist, Orbi Health Pvt Ltd.Adresse e-mail validée de upf.edu
György SzaszákBudapest University of Technology and EconomicsAdresse e-mail validée de tmit.bme.hu
Mittul SinghSilo AIAdresse e-mail validée de silo.ai
Ivan HimawanTransperfectAdresse e-mail validée de transperfect.com
Dietrich KlakowSaarland University, Saarland Informatics CampusAdresse e-mail validée de lsv.uni-saarland.de
Rafael Caro RepettoInstitute of Ethnomusicology, Kunstuniversität GrazAdresse e-mail validée de kug.ac.at
Kaustuv Kanti GanguliAssociate Professor at Zayed University, UAEAdresse e-mail validée de zu.ac.ae
Ali Taylan CemgilResearch Scientist, DeepMind UKAdresse e-mail validée de google.com
Swapnil GuptaMusic Technology Group, BarcelonaAdresse e-mail validée de upf.edu
Thippur SreenivasIndian Institute of Science, Bangalore-12, IndiaAdresse e-mail validée de iisc.ac.in
Florian KrebsJoanneum Research GrazAdresse e-mail validée de joanneum.at
Hema A MurthyProfessor of Computer Science and Engineering, IIT MadrasAdresse e-mail validée de cse.iitm.ac.in
Vignesh IshwarMusic Technology Group - Universitat de Pompeu Fabra, BarcelonaAdresse e-mail validée de upf.edu
Gopala Krishna KoduriMusic Technology Group, Universitat Pompeu FabraAdresse e-mail validée de upf.edu
Mi TianSpotifyAdresse e-mail validée de spotify.com

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Ajay Srinivasamurthy

Applied Science, Amazon Alexa | Indian Institute of Technology Hyderabad

Adresse e-mail validée de amazon.com - Page d'accueil

Signal Processing Machine Learning Speech Recognition Music Information Retrieval


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Chord Recognition Using Duration-explicit Hidden Markov Models. R Chen, W Shen, A Srinivasamurthy, P Chordia ISMIR, 445-450, 2012	62	2012
Semi-supervised learning with semantic knowledge extraction for improved speech recognition in air traffic control A Srinivasamurthy, P Motlicek, I Himawan, G Szaszak, Y Oualil, H Helmke Proceedings of Interspeech 2017, 2017	55	2017
In search of automatic rhythm analysis methods for turkish and indian art music A Srinivasamurthy, A Holzapfel, X Serra Journal of New Music Research 43 (1), 94-114, 2014	44	2014
Tracking the “odd”: Meter inference in a culturally diverse music corpus A Holzapfel, F Krebs, A Srinivasamurthy ISMIR-International Conference on Music Information Retrieval, 425-430, 2014	42	2014
A supervised approach to hierarchical metrical cycle tracking from audio music recordings A Srinivasamurthy, X Serra 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014	41	2014
Corpora for music information research in indian art music A Srinivasamurthy, GK Koduri, S Gulati, V Ishwar, X Serra Georgaki A, Kouroupetroglou G, eds. Proceedings of the 2014 International …, 2014	35	2014
Semi-supervised adaptation of assistant based speech recognition models for different approach areas M Kleinert, H Helmke, G Siol, H Ehr, A Cerna, C Kern, D Klakow, ... 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC), 1-10, 2018	28	2018
A study of instrument-wise onset detection in Beijing opera percussion ensembles M Tian, A Srinivasamurthy, M Sandler, X Serra 2014 ieee international conference on acoustics, speech and signal …, 2014	27	2014
A context-aware speech recognition and understanding system for air traffic control domain Y Oualil, D Klakow, G Szaszák, A Srinivasamurthy, H Helmke, P Motlicek 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017	23	2017
Machine learning of controller command prediction models from recorded radar data and controller speech utterances M Kleinert, H Helmke, G Siol, H Ehr, M Finke, A Srinivasamurthy, Y Oualil 7th SESAR Innovation Days, Belgrade, 2017	20	2017
A generalized Bayesian model for tracking long metrical cycles in acoustic music signals A Srinivasamurthy, A Holzapfel, AT Cemgil, X Serra 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016	19	2016
Aspects of tempo and rhythmic elaboration in Hindustani music: A corpus study A Srinivasamurthy, A Holzapfel, KK Ganguli, X Serra Frontiers in Digital Humanities 4, 20, 2017	17	2017
Particle Filters for Efficient Meter Tracking with Dynamic Bayesian Networks A Srinivasamurthy, A Holzapfel, AT Cemgil, X Serra 16th International Society for Music Information Retrieval Conference, 197-203, 2015	17	2015
Discovery of Syllabic Percussion Patterns in Tabla Solo Recordings S Gupta, A Srinivasamurthy, M Kumar, HA Murthy, X Serra	17*
A beat tracking approach to complete description of rhythm in indian classical music A Srinivasamurthy, S Subramanian, G Tronel, P Chordia Proc. of the 2nd CompMusic Workshop, 72-78, 2012	16	2012
On the use of note onsets for improved lyrics-to-audio alignment in turkish makam music GB Dzhambazov, A Srinivasamurthy, S Sentürk, X Serra Devaney J, Mandel MI, Turnbull D, Tzanetakis G, editors. ISMIR 2016 …, 2016	15	2016
Saraga: Open Datasets for Research on Indian Art Music A Srinivasamurthy, S Gulati, RC Repetto, X Serra Empirical Musicology Review 16 (1), 85-98, 2021	14	2021
Iterative Learning of Speech Recognition Models for Air Traffic Control. A Srinivasamurthy, P Motlicek, M Singh, Y Oualil, M Kleinert, H Ehr, ... INTERSPEECH, 3519-3523, 2018	14	2018
A Data-driven Bayesian Approach to Automatic Rhythm Analysis of Indian Art Music A Srinivasamurthy Universitat Pompeu Fabra, Barcelona, Spain, 2016	14	2016
Transcription and recognition of syllable based percussion patterns: The case of Beijing Opera A Srinivasamurthy, R Caro Repetto, H Sundar, X Serra Proceedings of the 15th Conference of/nthe International Society for Music …, 2014	14	2014

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