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Advances in subword-based HMM-DNN speech recognition across languages

We describe a novel way to implement subword language models in speech recognition systems based on weighted finite state transducers, hidden Markov models, and deep neural networks. The acoustic models are built on graphemes in a way that no …

Automatic Speech Recognition with Very Large Conversational Finnish and Estonian Vocabularies

Today, the vocabulary size for language models in large vocabulary speech recognition is typically several hundreds of thousands of words. While this is already sufficient in some applications, the out-of-vocabulary words are still limiting the …