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- W4313464598 abstract "This paper describes experiments on phonetic speech segmentation of audiobooks by using LSTM neural networks. The segmentation procedure includes an iterative adaptation of an initial speaker-independent model. The experimental data involves 5 audiobooks recorded by various renowned Czech speakers. About 20 min long portions of each audiobook were precisely manually segmented by phonetic experts. We focused mainly on the optimal setting of the iterative segmentation procedure and explored the effect of the most relevant parameters on the resulting segmentation accuracy." @default.
- W4313464598 created "2023-01-06" @default.
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- W4313464598 date "2022-01-01" @default.
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- W4313464598 title "Phonetic Speech Segmentation of Audiobooks by Using Adapted LSTM-Based Acoustic Models" @default.
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- W4313464598 doi "https://doi.org/10.1007/978-3-031-22419-5_27" @default.
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