Speech Recognition On Mediaspeech
Métriques
WER for Arabic
WER for French
WER for Spanish
WER for Turkish
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
Nom du modèle | WER for Arabic | WER for French | WER for Spanish | WER for Turkish |
---|---|---|---|---|
mediaspeech-multilanguage-asr-benchmark-and | 0.2333 | 0.1759 | 0.0879 | 0.0768 |
mediaspeech-multilanguage-asr-benchmark-and | - | - | 0.3070 | - |
mediaspeech-multilanguage-asr-benchmark-and | 0.1300 | 0.1915 | 0.1826 | 0.1422 |
mediaspeech-multilanguage-asr-benchmark-and | 0.3016 | 0.1683 | 0.1296 | 0.2296 |
mediaspeech-multilanguage-asr-benchmark-and | 0.3085 | 0.2111 | 0.1970 | 0.3050 |
mediaspeech-multilanguage-asr-benchmark-and | 0.4464 | 0.2385 | 0.2176 | 0.2707 |
mediaspeech-multilanguage-asr-benchmark-and | - | 0.4741 | 0.4236 | - |
mediaspeech-multilanguage-asr-benchmark-and | 0.9596 | 0.3113 | 0.2469 | 0.5812 |