Spoken Language Identification On Youtube
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Accuracy | Paper Title | Repository |
|---|---|---|---|
| CRNN | 0.967 | Is Attention always needed? A Case Study on Language Identification from Speech | - |
| CRNN Attention | 0.966 | Is Attention always needed? A Case Study on Language Identification from Speech | - |
| Inception-v3 CRNN | 0.96 | Language Identification Using Deep Convolutional Recurrent Neural Networks | |
| CRNN | 0.91 | Language Identification Using Deep Convolutional Recurrent Neural Networks | |
| CNN | 0.948 | Is Attention always needed? A Case Study on Language Identification from Speech | - |
0 of 5 row(s) selected.