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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), 2017
Sound 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
openaire   +1 more source

Uncertainty Estimation for Connectionist Temporal Classification Based Automatic Speech Recognition

INTERSPEECH 2023, 2023
Lars Rumberg   +5 more
openaire   +1 more source

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
openaire   +1 more source

Connectionist Temporal Classification Based Speechto-Text Model with Optimized Preprocessing Techniques

2025 12th International Conference on Computing for Sustainable Global Development (INDIACom)
S. Godvin Mani, T. Rajesh Kumar
openaire   +1 more source

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