Tone Recognition of Continuous Mandarin Speech Based on Tone Nucleus Model and Neural Network
نویسندگان
چکیده
منابع مشابه
Tone recognition of continuous Mandarin speech based on neural networks
Several neural network-based tone recognition schemes for continuous Mandarin speech are discussed. A basic MLP tone recognizer using recognition features extracted from the processing syllable is first introduced. Then, some additional features extracted from neighboring syllables are added to compensate for the coarticulation effect. It is then further improved to compensate for the effect of...
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A method is developed for recognizing lexical tone types of Standard Chinese syllables in continuous speech. Neural network (four-layered perceptron) is adopted as classifier. The method includes two steps; first recognizing tone types using prosodic features of voiced part, and then re-recognizing by viewing only on tone nucleus, which is a portion of the syllable showing rather stable fundame...
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This paper reports our study on tone recognition in Mandarin spontaneous speech, which is characterized by complicated tone behaviors. Real-Context is proposed as a new concept used in the tone modeling. First, the “error” data, which may bring negative influences to the tone model, are removed from the training data by an iterative method. Then we cluster the reduced training data into a few s...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2008
ISSN: 0916-8532,1745-1361
DOI: 10.1093/ietisy/e91-d.6.1748