33 citations · 38 across the 3 of their papers we have counts for
3 papers
cs.CL2020
Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models
Mittul Singh, Peter Smit, Sami Virpioja +1
Character-based Neural Network Language Models (NNLM) have the advantage of smaller vocabulary and thus faster training times in comparison to NNLMs based on multi-character units.…
cs.CL2020★ 5 cited
Subword RNNLM Approximations for Out-Of-Vocabulary Keyword Search
Mittul Singh, Sami Virpioja, Peter Smit +1
In spoken Keyword Search, the query may contain out-of-vocabulary (OOV) words not observed when training the speech recognition system. Using subword language models (LMs) in the f…
cs.CL2017★ 33 cited
Automatic Speech Recognition with Very Large Conversational Finnish and Estonian Vocabularies
Seppo Enarvi, Peter Smit, Sami Virpioja +1
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…