Abstract: A method for text-to-pronunciation conversion includes a process for searching grapheme-phoneme segments and a three-stage process of text-to-pronunciation conversion. This method looks for a sequence of grapheme-phoneme pairs, which is referred to as a chunk, via a trained pronouncing dictionary, performs grapheme segmentation, chunk marking and a decision process on an input text, and determines a pronouncing sequence for the text. With the chunk marking, the method greatly reduces the search space on the associated phoneme graph, and thereby efficiently enhances the search speed for the candidate chunk sequences. The method keeps a high word-accuracy as well as saves computing time.

Abstract: Disclosed is a method for text-to-pronunciation conversion, which comprises a process for searching grapheme-phoneme segments and a three-stage process of text-to-pronunciation conversion. This method looks for a sequence of grapheme-phoneme pairs (a sequence of grapheme-phoneme pairs is referred to a chunk) via a trained pronouncing dictionary, proceeds grapheme segmentation, chunk marking and a decision process on an input text, and determines a pronouncing sequence for the text. With the chunk marking, the invention, greatly reduces the search space on the associated phoneme graph, thereby efficiently enhances the search speed for the candidate chunk sequences. The invention keeps a high word-accuracy as well as saves lots of computing time. It is applicable to the audio-related products for mobile information appliances.