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Deep Bidirectional Long Short-Term Memory Recurrent Neural Networks for Grapheme-to-Phoneme Conversion Utilizing Complex Many-to-Many Alignments
Research article (Interspeech 2016, 2016) · cited 20× · AI/ML
Deep Bidirectional Long Short-Term Memory Recurrent Neural Networks for Grapheme-to-Phoneme Conversion Utilizing Complex Many-to-Many Alignments
Summary
Deep Bidirectional Long Short-Term Memory Recurrent Neural Networks for Grapheme-to-Phoneme Conversion Utilizing Complex Many-to-Many Alignments is a scholarly article[1].
Key Facts
Deep Bidirectional Long Short-Term Memory Recurrent Neural Networks for Grapheme-to-Phoneme Conversion Utilizing Complex Many-to-Many Alignments's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep Bidirectional Long Short-Term Memory Recurrent Neural Networks for Grapheme-to-Phoneme Conversion Utilizing Complex Many-to-Many Alignments. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-bidirectional-long-short-term-memory-recurrent-neural-networks-for-grapheme-to-phoneme-conversion-utilizing-complex