Applications of CTC
The CTC algorithm finds application in domains which do not require explicit alignment information between inputs and outputs during training like
- Speech Recognition
- Music Transcription
- Gesture Recognition
- In processing sensor data for robotics system
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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