Speech Recognition On Fongbe Speech
Metrics
Word Error Rate (WER)
Results
Performance results of various models on this benchmark
Model Name | Word Error Rate (WER) | Paper Title | Repository |
|---|---|---|---|
| Triphone (39 features) + LDA and MLLT + SAT and FMLLR | 17.77 | First Automatic Fongbe Continuous Speech Recognition System: Development of Acoustic Models and Language Models | |
| Triphone (13 MFCC + delta + delta2) | 26.75 | First Automatic Fongbe Continuous Speech Recognition System: Development of Acoustic Models and Language Models | |
| Triphone (39 features) + LDA and MLLT + SGMM | 16.57 | First Automatic Fongbe Continuous Speech Recognition System: Development of Acoustic Models and Language Models |
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