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Text normalization is an important component in text-to-speech system and the difficulty in text normalization is to disambiguate the non-standard words (NSWs). This paper develops a taxonomy of NSWs on the basis of a large scale Chinese corpus, and proposes a two-stage NSWs disambiguation strategy, finite state automata (FSA) for initial classification and maximum entropy (ME) classifiers for subclass...
Determining the correct phonemes and pitch accents is important for creating natural Japanese speech. We implemented a TTS front-end system based on an n-gram model. However, the vocabulary of the word n-gram model is limited to the list of the words found in the training corpus, and collecting a very large training corpus is not an easy task. In this paper, we propose using an additional class n-gram...
We present our recent progress towards implementing large vocabulary continuous SMS dictation in embedded devices. The dictation engine we describe here is based on the popular finite state transducer paradigm and is capable of handling large vocabularies and high order n-gram language models in a small memory footprint - even relative to what is available in current high end devices such as the Nokia...
In this paper two aspects of generating and using phonetic arabic dictionaries are described. First, the use of single pronunciation acoustic models in the context of arabic large vocabulary automatic speech recognition (ASR) is investigated. These have been found to be useful for English ASR systems, when combined with standard multiple pronunciation systems. The second area examined is automatically...
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