CTC Based

Connectionist Temporal Classification (CTC) is a widely used technique for sequence modeling, primarily in speech recognition and related areas like machine translation and text recognition. Current research focuses on improving CTC's accuracy and efficiency through methods like consistency regularization, hybrid CTC/attention architectures, and incorporating pretrained language models or acoustic models. These advancements aim to address limitations such as latency, robustness to noise, and handling of unseen words, ultimately leading to more accurate and efficient systems for various applications including medical image analysis and cross-technology communication.