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ORCIDAnil M. Nagathil
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2020 – today
- 2021
[c15]Anil M. Nagathil, Florian Göbel, Alexandru Nelus
, Ian C. Bruce:
Computationally Efficient DNN-Based Approximation of an Auditory Model for Applications in Speech Processing. ICASSP 2021: 301-305- 2020
- [c14]Benjamin Lentz, Anil M. Nagathil, Johannes Gauer, Rainer Martin:
Harmonic/Percussive Sound Separation and Spectral Complexity Reduction of Music Signals for Cochlear Implant Listeners. ICASSP 2020: 8713-8717
2010 – 2019
- 2019
- [j3]Waldo Nogueira, Anil M. Nagathil, Rainer Martin:
Making Music More Accessible for Cochlear Implant Listeners: Recent Developments. IEEE Signal Process. Mag. 36(1): 115-127 (2019) - 2018
- [c13]Johannes Gauer, Anil M. Nagathil, Rainer Martin:
Binaural Spectral Complexity Reduction of Music Signals for Cochlear Implant Listeners. ICASSP 2018: 251-255 - 2017
- [c12]Ekaterina A. Krymova, Anil M. Nagathil, Denis Belomestny, Rainer Martin:
Segmentation of music signals based on explained variance ratio for applications in spectral complexity reduction. ICASSP 2017: 206-210 - [c11]Anil M. Nagathil, Jan-Willem Schlattmann, Katrin Neumann, Rainer Martin:
A feature-based linear regression model for predicting perceptual ratings of music by cochlear implant listeners. ICASSP 2017: 346-350 - 2016
- [j2]Anil M. Nagathil, Claus Weihs, Rainer Martin:
Spectral Complexity Reduction of Music Signals for Mitigating Effects of Cochlear Hearing Loss. IEEE ACM Trans. Audio Speech Lang. Process. 24(3): 445-458 (2016) - 2015
- [j1]Sebastian Gergen, Anil M. Nagathil, Rainer Martin:
Classification of reverberant audio signals using clustered ad hoc distributed microphones. Signal Process. 107: 21-32 (2015) - [c10]Sebastian Gergen, Anil M. Nagathil, Rainer Martin:
Reduction of reverberation effects in the MFCC modulation spectrum for improved classification of acoustic signals. INTERSPEECH 2015: 1992-1996 - 2013
- [c9]Igor Vatolkin, Anil M. Nagathil, Wolfgang M. Theimer, Rainer Martin:
Performance of Specific vs. Generic Feature Sets in Polyphonic Music Instrument Recognition. EMO 2013: 587-599 - [c8]Sebastian Gergen, Anil M. Nagathil, Rainer Martin:
Audio signal classification in reverberant environments based on fuzzy-clustered ad-hoc microphone arrays. ICASSP 2013: 3692-3696 - [c7]Anil M. Nagathil, Rainer Martin:
Evaluation of spectral transforms for music signal analysis. WASPAA 2013: 1-4 - 2012
- [c6]Anil M. Nagathil, Rainer Martin:
Optimal signal reconstruction from a constant-Q spectrum. ICASSP 2012: 349-352 - 2011
- [c5]Anil M. Nagathil, Peter Gottel, Rainer Martin:
Hierarchical audio classification using cepstral modulation ratio regressions based on Legendre polynomials. ICASSP 2011: 2216-2219 - 2010
- [c4]Anil M. Nagathil, Igor Vatolkin, Wolfgang M. Theimer:
Comparison of Partition-Based Audio Features for Music Classification. Sprachkommunikation 2010: 1-4 - [c3]Anil M. Nagathil, Timo Gerkmann, Rainer Martin:
Musical genre classification based on a highly-resolved cepstral modulation spectrum. EUSIPCO 2010: 462-466
2000 – 2009
- 2009
- [c2]Rainer Martin, Anil M. Nagathil:
Cepstral modulation ratio regression (CMRARE) parameters for audio signal analysis and classification. ICASSP 2009: 321-324 - 2007
- [c1]Dirk Mauler, Anil M. Nagathil, Rainer Martin:
On optimal estimation of compressed speech for hearing aids. INTERSPEECH 2007: 826-829
Coauthor Index
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