Spoken Language Identification On Indictts
Metrics
Classification Accuracy
Results
Performance results of various models on this benchmark
Model Name | Classification Accuracy | Paper Title | Repository |
|---|---|---|---|
| CRNN | 0.987 | Is Attention always needed? A Case Study on Language Identification from Speech | - |
| CNN | 0.983 | Is Attention always needed? A Case Study on Language Identification from Speech | - |
| CRNN Attention | 0.987 | Is Attention always needed? A Case Study on Language Identification from Speech | - |
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