| 摘要 |
<p>PURPOSE:To learn various phonemes by short vocalization by using a voice which has good phoneme balance. CONSTITUTION:A neural network is learnt by using the outline of a short-time spectrum obtained from a voice for learning. A voice with good phoneme balance is used as the voice for learning. For recognition, the outline of the same short-time spectrum is found from an optional speaking and its series is inputted to the network to obtain a network output. The output vectors of the obtained network output indicate speakers for the short-time inputs and are totally judged by sum, product, and majority decision making, etc., over the entire series to obtain one recognition result.</p> |
