Multitask Learning with CTC and Segmental CRF for Speech Recognition

21 Feb 2017Liang LuLingpeng KongChris DyerNoah A. Smith

Segmental conditional random fields (SCRFs) and connectionist temporal classification (CTC) are two sequence labeling methods used for end-to-end training of speech recognition models. Both models define a transcription probability by marginalizing decisions about latent segmentation alternatives to derive a sequence probability: the former uses a globally normalized joint model of segment labels and durations, and the latter classifies each frame as either an output symbol or a "continuation" of the previous label... (read more)

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