Challenges of CTC
- The decoding phase in CTC can require significant computational resources, particularly when handling extended input sequences.
- In speech recognition applications characterized by fluctuating acoustic environments, the CTC model may encounter challenges in effectively generalizing across diverse conditions.
Connectionist Temporal Classification
CTC is an algorithm employed for training deep neural networks in tasks like speech recognition and handwriting recognition, as well as other sequential problems where there is no explicit information about alignment between the input and output. CTC provides a way to get around when we don’t know how the inputs maps to the output.
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