Automatic Speech Recognition with Very Large Conversational Finnish and Estonian Vocabularies
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Abstract (arXiv)
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 usability in others. In agglutinative languages the vocabulary for conversational speech should include millions of word forms to cover the spelling variations due to colloquial pronunciations, in addition to the word compounding and inflections. Very large vocabularies are also needed, for example, when the recognition of rare proper names is important.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Jul 2017.
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Citing papers per year: 2021: 1; 2022: 3; 2023: 0; 2024: 1.
5 papers.
- 2024Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabulariescited by 118
- 2022Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarkscited by 7
- 2022Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognitioncited by 7
- 2021The Current State of Finnish NLPcited by 5
- 2022Finnish Parliament ASR corpus - Analysis, benchmarks and statisticscited by 1
- 2024Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies18 Jul 2024
- 2022Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition8 Apr 2022
- 2022Finnish Parliament ASR corpus - Analysis, benchmarks and statistics28 Mar 2022
- 2022Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarks24 Mar 2022
- 2021The Current State of Finnish NLP23 Sep 2021