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引用次数: 1
摘要
如今，传播媒介迅速发展，但语言障碍仍然很高。为了缩小这一差距，我们使用了语音识别系统Julius。这篇论文提出了一个西班牙语模型，在Julius中还没有。为此，我们使用了开发工具包HTK (Hidden Markov Model toolkit)。创建模型后，对每个模型进行部分训练和验证。
Nowadays, communications media are growing drastically, but the language barrier still remains high. Among the available services to reduce this gap, we use Julius, a voice recognition system. The paper proposes a Spanish language model, not yet available in Julius. To this end, we used the development toolkit HTK (Hidden Markov Model Toolkit). After creating it, each model was partially trained and validated.
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