C4.5: programs for machine learning
C4.5: programs for machine learning
The rise/fall/connection model of intonation
Speech Communication
Modeling of intonation for speech synthesis
Modeling of intonation for speech synthesis
Progress in speech synthesis
An introduction to text-to-speech synthesis
An introduction to text-to-speech synthesis
Machine Learning
A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
Chinese prosody generation based on C-ToBI representation for text-to-speech
AST/UCMA/ISA/ACN'10 Proceedings of the 2010 international conference on Advances in computer science and information technology
ACM Transactions on Asian Language Information Processing (TALIP)
A fuzzy classifier to deal with similarity between labels on automatic prosodic labeling
Computer Speech and Language
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In this article we present a prosody generation architecture based on K-ToBI (Korean Tone and Break Index) representation. ToBI is a multitier representation system based on linguistic knowledge that transcribes events in an utterance. The TTS (Text-To-Speech) system, which adopts ToBI as an intermediate representation, is known to exhibit higher flexibility, modularity, and domain/task portability compared to the direct prosody generation TTS systems. However, for practical-level performance, the cost of corpus preparation is very expensive because the ToBI labeled corpus is constructed manually by many prosody experts, and normally requires large amounts of data for statistical prosody modeling. Unlike previous ToBI-based systems, this article proposes a new method, which transcribes the K-ToBI labels in Korean speech completely automatically. We develop automatic corpus-based K-ToBI labeling tools and prediction methods based on several lexico-syntactic linguistic features for decision-tree induction. We demonstrate the performance of F0 generation from automatically predicted K-ToBI labels, and confirm that the performance is reasonably comparable to state-of-the-art direct prosody generation methods and previous ToBI-based methods.