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On the use of spectro-temporal features for the IEEE AASP challenge 'detection and classification of acoustic scenes and events'.

, , , , , , , , and . WASPAA, page 1-4. IEEE, (2013)

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Triggered Attention for End-to-end Speech Recognition., , and . ICASSP, page 5666-5670. IEEE, (2019)Unsupervised Speaker Adaptation Using Attention-Based Speaker Memory for End-to-End ASR., , , and . ICASSP, page 7384-7388. IEEE, (2020)Sequence Transduction with Graph-Based Supervision., , , and . ICASSP, page 7212-7216. IEEE, (2022)SynthVSR: Scaling Up Visual Speech RecognitionWith Synthetic Supervision., , , , , , , , , and 2 other author(s). CVPR, page 18806-18815. IEEE, (2023)Streaming Audio-Visual Speech Recognition with Alignment Regularization., , , , and . INTERSPEECH, page 1598-1602. ISCA, (2023)Streaming End-to-End Speech Recognition with Joint CTC-Attention Based Models., , and . ASRU, page 936-943. IEEE, (2019)Unsupervised Domain Adaptation for Speech Recognition via Uncertainty Driven Self-Training., , , and . CoRR, (2020)Capturing Multi-Resolution Context by Dilated Self-Attention., , and . ICASSP, page 5869-5873. IEEE, (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)