Angel Mario CASTRO MARTINEZ
Angel Mario CASTRO MARTINEZ
University of Oldenburg and Excellence cluster Hearing4all
Verified email at uni-oldenburg.de - Homepage
Title
Cited by
Cited by
Year
Performance monitoring for automatic speech recognition in noisy multi-channel environments
BT Meyer, SH Mallidi, AMC Martinez, G PayŠ-VayŠ, H Kayser, ...
2016 IEEE Spoken Language Technology Workshop (SLT), 50-56, 2016
182016
Should deep neural nets have ears? The role of auditory features in deep learning approaches
AMC Martinez, N Moritz, BT Meyer
Fifteenth Annual Conference of the International Speech Communication†…, 2014
172014
On the relevance of auditory-based Gabor features for deep learning in robust speech recognition
AMC Martinez, SH Mallidi, BT Meyer
Computer Speech & Language 45, 21-38, 2017
162017
DNN-based performance measures for predicting error rates in automatic speech recognition and optimizing hearing aid parameters
AMC Martinez, L Gerlach, G PayŠ-VayŠ, H Hermansky, J Ooster, ...
Speech Communication 106, 44-56, 2019
92019
Why do ASR Systems Despite Neural Nets Still Depend on Robust Features.
AMC Martinez, MR Schšdler
INTERSPEECH, 1883-1887, 2016
32016
Modelling human speech recognition in challenging noise maskers using machine learning
B Kollmeier, C Spille, AMC MartŪnez, SD Ewert, BT Meyer
Acoustical Science and Technology 41 (1), 94-98, 2020
12020
Prediction of speech intelligibility with DNN-based performance measures
AMC Martinez, C Spille, B Kollmeier, BT Meyer
Proceedings of the International Symposium on Auditory and Audiological†…, 2019
12019
On the Relevance of Auditory-Based Gabor Features for Deep Learning in Automatic Speech Recognition
AMC Martinez, SH Mallidi, BT Meyer
arXiv preprint arXiv:1702.04333, 2017
2017
Multi-scalable Speech Processing for Assistive Technologies
AMC Martinez
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Articles 1–9