WARDEN achieves better transcription and translation for Wardaman than larger models by separating the tasks and using Sundanese initialization plus a domain dictionary with just 6 hours of data.
Bert: Pre- training of deep bidirectional transformers for language under- standing,
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An adaptive cross-modal gating network improves depression detection from speech by selectively weighting sparse relevant segments across acoustic and textual modalities.
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WARDEN: Endangered Indigenous Language Transcription and Translation with 6 Hours of Training Data
WARDEN achieves better transcription and translation for Wardaman than larger models by separating the tasks and using Sundanese initialization plus a domain dictionary with just 6 hours of data.
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Learning to Attend to Depression-Related Patterns: An Adaptive Cross-Modal Gating Network for Depression Detection
An adaptive cross-modal gating network improves depression detection from speech by selectively weighting sparse relevant segments across acoustic and textual modalities.