Target set reduction enables reliable training of CTC-based and attention-based E2E ASR models on limited Hindi-English code-switching data.
Comparing codeswitching and borrowing,
2 Pith papers cite this work. Polarity classification is still indexing.
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2019 2verdicts
UNVERDICTED 2representative citing papers
Attention-based E2E network outperforms CTC-based E2E for LID on Hindi-English code-switching corpus and uses attention weights to locate switch boundaries.
citing papers explorer
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Investigating Target Set Reduction for End-to-End Speech Recognition of Hindi-English Code-Switching Data
Target set reduction enables reliable training of CTC-based and attention-based E2E ASR models on limited Hindi-English code-switching data.
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Joint Language Identification of Code-Switching Speech using Attention based E2E Network
Attention-based E2E network outperforms CTC-based E2E for LID on Hindi-English code-switching corpus and uses attention weights to locate switch boundaries.