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A first attempt at polyphonic sound event detection using connectionist temporal classification
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017Sound event detection is the task of detecting the type, starting time, and ending time of sound events in audio streams. Recently, recurrent neural networks (RNNs) have become the mainstream solution for sound event detection. Because RNNs make a prediction at every frame, it is necessary to provide exact starting and ending times of the sound events ...
Yun Wang 0005, Florian Metze
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Uncertainty Estimation for Connectionist Temporal Classification Based Automatic Speech Recognition
INTERSPEECH 2023, 2023Lars Rumberg +5 more
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CTC_STN: A Connectionist Temporal Classification Model for Industrial Text Recognition
2025 5th International Conference on Electrical Engineering and Computer Technology (IC2ECT)Wenbin Zhang, Shanshan Ba
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A Novel Re-weighting Method for Connectionist Temporal Classification.
CoRR, 2019Hongzhu Li, Weiqiang Wang 0001
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Sequence labeling with neural networks: connectionist temporal classification revisited
2013openaire +1 more source
2025 12th International Conference on Computing for Sustainable Global Development (INDIACom)
S. Godvin Mani, T. Rajesh Kumar
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S. Godvin Mani, T. Rajesh Kumar
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Connectionist Temporal Classification with Maximum Entropy Regularization.
Hu Liu, Sheng Jin 0007, Changshui Zhangopenaire +1 more source

