Text-Dependent Speaker Verification
2 papers with code • 0 benchmarks • 0 datasets
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Latest papers
Attention-Based Models for Text-Dependent Speaker Verification
liyongze/lstm_speaker_verification
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Attention-based models have recently shown great performance on a range of tasks, such as speech recognition, machine translation, and image captioning due to their ability to summarize relevant information that expands through the entire length of an input sequence.
End-to-End Text-Dependent Speaker Verification
Janghyun1230/Speaker_Verification
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In this paper we present a data-driven, integrated approach to speaker verification, which maps a test utterance and a few reference utterances directly to a single score for verification and jointly optimizes the system's components using the same evaluation protocol and metric as at test time.
