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Investigating modulation spectrogram features for deep neural network-based automatic speech recognition.

, and . INTERSPEECH, page 2479-2483. ISCA, (2015)

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Coupled Dictionaries for Exemplar-Based Speech Enhancement and Automatic Speech Recognition., , , and . IEEE/ACM Trans. Audio, Speech & Language Processing, 23 (11): 1788-1799 (2015)Supervised speech dereverberation in noisy environments using exemplar-based sparse representations., and . ICASSP, page 156-160. IEEE, (2016)Exemplar-based speech enhancement for deep neural network based automatic speech recognition., , , and . ICASSP, page 4485-4489. IEEE, (2015)Coupled dictionary training for exemplar-based speech enhancement., , , and . ICASSP, page 2883-2887. IEEE, (2014)Investigating modulation spectrogram features for deep neural network-based automatic speech recognition., and . INTERSPEECH, page 2479-2483. ISCA, (2015)Biophysically-inspired Features Improve the Generalizability of Neural Network-based Speech Enhancement Systems., and . INTERSPEECH, page 3264-3268. ISCA, (2018)Machines hear better when they have ears., and . CoRR, (2018)Hybrid input spaces for exemplar-based noise robust speech recognition using coupled dictionaries., and . EUSIPCO, page 1676-1680. IEEE, (2015)Exemplar-based noise robust automatic speech recognition using modulation spectrogram features., , , , and . SLT, page 519-524. IEEE, (2014)Joint Denoising and Dereverberation Using Exemplar-Based Sparse Representations and Decaying Norm Constraint., and . IEEE/ACM Trans. Audio, Speech & Language Processing, 25 (10): 2024-2035 (2017)