Application of Neural Networks for POS Tagging and Intonation Control in Speech Synthesis for Polish

By Artur Janicki. 2004

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Xu Tan
2. Tao Qin
3. Tie-Yan Liu
4. Frank K. Soong
5. Yi Ren
6. Olivier Chapelle
7. Yanqing Liu
8. Rongjie Huang

Citations in the corpus

• A Survey on Neural Speech Synthesis (2021, methodology): “Task Research Work Text Normalization Rule-based [311], Neural-based [310, 223, 406, 430], Hybrid [432] Word Segmentation [394, 444, 261] POS Tagging [292, 323, 221, 444, 135] Prosody Prediction [50, 405, 312, 186, 137, 322, 277, 62, 440, 210, 212, 3] Grapheme to Phoneme N-gram [41, 24], Neural-base”