如何培训自定义模型以进行文本认知服务？
我们对文本应用程序构建了演讲。在这次对话中总是用荷兰语。但是在某些情况下，英语和荷兰语是相同的。那时我该如何训练我的模型。
We build an Speech To Text Application. In this Conversation always in dutch language. But in some cases English and Dutch words are same. At that time how can i train my model.
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有不同的方法可以
使用
可以像火车和测试采样分离一样应用，检查样本计数并分配集合。
创建一个很少句子的培训文件（重复内容也可以接受）。用该文件训练模型。根据语言优先级，该文件必须包含荷兰语和英语相关的单词。
使用以下内容可以帮助您创建
There are different ways to do the task
Train the model with audio samples of the language Dutch (Belgium or Standard) with related transcript
Without any audio file give the text file of the language to train the model
By default settings can be applied like train and test sampling separation, check the sample count and divide the sets.
create a training file with few sentences (repeated content also acceptable). Train the model with that file. Based on the language priority, the file has to contain Dutch and English related words.
Use the following can help you to create a pronunciation file