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An Auditory Inspired Amplitude Modulation Filter Bank for Robust Feature Extraction in Automatic Speech Recognition.

, , and . IEEE ACM Trans. Audio Speech Lang. Process., 23 (11): 1926-1937 (2015)

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An Auditory Inspired Amplitude Modulation Filter Bank for Robust Feature Extraction in Automatic Speech Recognition., , and . IEEE ACM Trans. Audio Speech Lang. Process., 23 (11): 1926-1937 (2015)Streaming End-to-End Speech Recognition with Joint CTC-Attention Based Models., , and . ASRU, page 936-943. IEEE, (2019)Amplitude modulation spectrogram based features for robust speech recognition in noisy and reverberant environments., , and . ICASSP, page 5492-5495. IEEE, (2011)Unsupervised Domain Adaptation for Speech Recognition via Uncertainty Driven Self-Training., , , and . CoRR, (2020)Advancing Momentum Pseudo-Labeling with Conformer and Initialization Strategy., , , and . CoRR, (2021)Extended Graph Temporal Classification for Multi-Speaker End-to-End ASR., , , , and . ICASSP, page 7322-7326. IEEE, (2022)Unsupervised Domain Adaptation for Speech Recognition via Uncertainty Driven Self-Training., , , and . ICASSP, page 6553-6557. IEEE, (2021)Capturing Multi-Resolution Context by Dilated Self-Attention., , and . ICASSP, page 5869-5873. IEEE, (2021)Unidirectional Neural Network Architectures for End-to-End Automatic Speech Recognition., , and . INTERSPEECH, page 76-80. ISCA, (2019)Probabilistic Spatial Filter Estimation for Signal Enhancement in Multi-Channel Automatic Speech Recognition., , and . INTERSPEECH, page 2562-2566. ISCA, (2016)