About this document
Understanding CTC in ASR Systems by Ivan Fadillah is a document available to read on EtoBox.
The document discusses Connectionist Temporal Classification (CTC) as an end-to-end approach for automatic speech recognition. CTC trains a recurrent neural network to map acoustic input sequences directly to character output sequences without requiring frame-level alignment. It handles variable input/output lengths by introducing a "blank" symbol and summing over all possible alignments. CTC has been shown to produce competitive results on standard speech recognition benchmarks.
- Author
- Ivan Fadillah
- Language
- EN