Automatic prosodic events detection using syllable-based acoustic and syntactic features

By J. Jeon, Yang Liu. 2009

42 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Experimental and Cognitive Psychology

How researchers see this paper

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

In Artificial Intelligence

1. Xu Tan
2. Tao Qin
3. Tie-Yan Liu
4. Frank K. Soong
5. Sheng Zhao
6. Lei Xie
7. Yi Ren
8. Zhou Zhao

In Experimental and Cognitive Psychology

1. Tao Qin
2. Lei Xie
3. Frank K. Soong
4. Tie-Yan Liu
5. Xu Tan

Citations in the corpus

• A Survey on Neural Speech Synthesis (2021, methodology): “TTS Text Analysis Char→Linguistic TN [310, 223, 430], G2P [403, 320, 321] Prosody Prediction [312, 137, 277, 251] Unified Model [252, 437] DeepVoice 1/2 [8, 84]”
• Automatic prosody prediction for Chinese speech synthesis using BLSTM-RNN and embedding features (2015, background): “Index Terms— automatic prosody prediction, speech synthesis, neural network, BLSTM, embedding features”