An End-to-End Text-independent Speaker Verification Framework with a Keyword Adversarial Network

6 Aug 2019Sungrack YunJanghoon ChoJungyun EumWonil ChangKyuwoong Hwang

This paper presents an end-to-end text-independent speaker verification framework by jointly considering the speaker embedding (SE) network and automatic speech recognition (ASR) network. The SE network learns to output an embedding vector which distinguishes the speaker characteristics of the input utterance, while the ASR network learns to recognize the phonetic context of the input... (read more)

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