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A Simple Distortion-Free Method to Handle Variable Length Sequences for Recurrent Neural Networks in Text Dependent Speaker Verification

Recurrent neural networks (RNNs) can model the time-dependency of time-series data. It has also been widely used in text-dependent speaker verification to extract speaker-and-phrase-discriminant embeddings. As with other neural networks, RNNs are trained in mini-batch units. In order to feed input s...

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Váldodahkkit: Sung-Hyun Yoon, Ha-Jin Yu
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: MDPI AG 2020-06-01
Ráidu:Applied Sciences
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Liŋkkat:https://www.mdpi.com/2076-3417/10/12/4092
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