Search Results - "Castro Martinez, Angel Mario"

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  1. 1

    Prediction of speech intelligibility with DNN-based performance measures by Castro Martinez, Angel Mario, Spille, Constantin, Roßbach, Jana, Kollmeier, Birger, Meyer, Bernd T.

    Published in Computer speech & language (01-07-2022)
    “…This paper presents a speech intelligibility model based on automatic speech recognition (ASR), combining phoneme probabilities from deep neural networks (DNN)…”
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    Journal Article
  2. 2

    DNN-based performance measures for predicting error rates in automatic speech recognition and optimizing hearing aid parameters by Castro Martinez, Angel Mario, Gerlach, Lukas, Payá-Vayá, Guillermo, Hermansky, Hynek, Ooster, Jasper, Meyer, Bernd T.

    Published in Speech communication (01-01-2019)
    “…In several applications of machine listening, predicting how well an automatic speech recognition system will perform before the actual decoding enables the…”
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    Journal Article
  3. 3

    Prediction of speech intelligibility with DNN-based performance measures by Martinez, Angel Mario Castro, Spille, Constantin, Roßbach, Jana, Kollmeier, Birger, Meyer, Bernd T

    Published 17-03-2022
    “…Computer Speech & Language, 74, p.101329 (2022) This paper presents a speech intelligibility model based on automatic speech recognition (ASR), combining…”
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    Journal Article
  4. 4

    Performance monitoring for automatic speech recognition in noisy multi-channel environments by Meyer, Bernd T., Mallidi, Sri Harish, Castro Martinez, Angel Mario, Paya-Vaya, Guillermo, Kayser, Hendrik, Hermansky, Hynek

    “…In many applications of machine listening it is useful to know how well an automatic speech recognition system will do before the actual recognition is…”
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    Conference Proceeding
  5. 5

    On the relevance of auditory-based Gabor features for deep learning in robust speech recognition by Castro Martinez, Angel Mario, Mallidi, Sri Harish, Meyer, Bernd T.

    Published in Computer speech & language (01-09-2017)
    “…•DNN-based speech recognition greatly benefits from spectro-temporal Gabor features.•Gabor filters with high temporal modulation encode the most relevant…”
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    Journal Article
  6. 6

    On the Relevance of Auditory-Based Gabor Features for Deep Learning in Automatic Speech Recognition by Martinez, Angel Mario Castro, Mallidi, Sri Harish, Meyer, Bernd T

    Published 14-02-2017
    “…Previous studies support the idea of merging auditory-based Gabor features with deep learning architectures to achieve robust automatic speech recognition,…”
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    Journal Article