Semantic-context benefits to word recognition vanish under signal degradation
Related
- Context-predicting models obtain a thorough and resounding victory against count-based counterparts (similarity 0.81)
- A 1 dB detection gain can shift speech identification by 15 to 20 points (similarity 0.81)
- Semantic context can compensate for degraded acoustic speech signals (similarity 0.81)
- Semantic knowledge helps listeners interpret degraded speech signals (similarity 0.80)
- Degraded speech delays semantic integration and blocks contextual relief of effort (similarity 0.79)
- Leaving key emotion-words untranslated resists monolingual Western hegemony over meaning (similarity 0.79)
- Sound’s constant speed across wavelengths is what preserves speech intelligibility (similarity 0.79)