Research Article
Spoken Language Identification Using Deep Learning
| Proposed technique/parameters | Value |
| Convolutional neural network | | Number of epochs | 60 | Batch size | 32 | Activation | ReLU | Optimizer | Adam | Dropouts | Yes | Loss | Categorical cross-entropy | Activation output | Softmax | Word embedding | | Number of epochs | 25 | CNN model | Word embedding Keras | Loss | Categorical cross-entropy | Optimizer | Adam | Activation output | Softmax | Naïve Bayes | | Type | Bernoulli Naïve Bayes | Kernel function | Bernoulli |
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