Ajay Srinivasamurthy
Ajay Srinivasamurthy
Applied Science, Amazon Artificial General Intelligence | Indian Institute of Technology Hyderabad
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Chord Recognition Using Duration-explicit Hidden Markov Models.
R Chen, W Shen, A Srinivasamurthy, P Chordia
ISMIR, 445-450, 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Discovery of Syllabic Percussion Patterns in Tabla Solo Recordings
S Gupta, A Srinivasamurthy, M Kumar, HA Murthy, X Serra
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
A Data-driven Bayesian Approach to Automatic Rhythm Analysis of Indian Art Music
A Srinivasamurthy
Universitat Pompeu Fabra, Barcelona, Spain, 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
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