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Models/Inception-v3 CRNN

Inception-v3 CRNN

Reported on 24 benchmarks across 3 tasks · 1 paper · 24 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Speech16 results

DialogueonYouTube News dataset (Background Music)
Accuracy · 2017-08-16
0.89
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
DialogueonYouTube News dataset (Background Music)
F1 Score· 2017-08-16
0.89
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
DialogueonYouTube News dataset (No Noise)
Accuracy · 2017-08-16
0.96
best: 0.967 (CRNN)
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
DialogueonYouTube News dataset (No Noise)
F1 Score· 2017-08-16
0.96
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
DialogueonYouTube News dataset (Crackling Noise)
Accuracy · 2017-08-16
0.93
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
DialogueonYouTube News dataset (Crackling Noise)
F1 Score· 2017-08-16
0.93
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
DialogueonYouTube News dataset (White Noise)
Accuracy · 2017-08-16
0.91
best: 0.912 (CRNN)
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
DialogueonYouTube News dataset (White Noise)
F1 Score· 2017-08-16
0.91
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
Spoken Language UnderstandingonYouTube News dataset (Background Music)
Accuracy · 2017-08-16
0.89
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
Spoken Language UnderstandingonYouTube News dataset (Background Music)
F1 Score· 2017-08-16
0.89
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
Spoken Language UnderstandingonYouTube News dataset (No Noise)
Accuracy · 2017-08-16
0.96
best: 0.967 (CRNN)
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
Spoken Language UnderstandingonYouTube News dataset (No Noise)
F1 Score· 2017-08-16
0.96
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
Spoken Language UnderstandingonYouTube News dataset (Crackling Noise)
Accuracy · 2017-08-16
0.93
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
Spoken Language UnderstandingonYouTube News dataset (Crackling Noise)
F1 Score· 2017-08-16
0.93
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
Spoken Language UnderstandingonYouTube News dataset (White Noise)
Accuracy · 2017-08-16
0.91
best: 0.912 (CRNN)
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
Spoken Language UnderstandingonYouTube News dataset (White Noise)
F1 Score· 2017-08-16
0.91
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811

Natural Language Processing8 results

Dialogue UnderstandingonYouTube News dataset (Background Music)
Accuracy · 2017-08-16
0.89
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
Dialogue UnderstandingonYouTube News dataset (Background Music)
F1 Score· 2017-08-16
0.89
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
Dialogue UnderstandingonYouTube News dataset (No Noise)
Accuracy · 2017-08-16
0.96
best: 0.967 (CRNN)
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
Dialogue UnderstandingonYouTube News dataset (No Noise)
F1 Score· 2017-08-16
0.96
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
Dialogue UnderstandingonYouTube News dataset (Crackling Noise)
Accuracy · 2017-08-16
0.93
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
Dialogue UnderstandingonYouTube News dataset (Crackling Noise)
F1 Score· 2017-08-16
0.93
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
Dialogue UnderstandingonYouTube News dataset (White Noise)
Accuracy · 2017-08-16
0.91
best: 0.912 (CRNN)
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811
Dialogue UnderstandingonYouTube News dataset (White Noise)
F1 Score· 2017-08-16
0.91
SOTA
Language Identification Using Deep Convolutional Recurrent Neural Networks arXiv:1708.04811