Papers by Steve Renals

3 papers
Word Error Rate Estimation for Speech Recognition: e-WER (P18-2)

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Challenge: Automatic speech recognition (ASR) systems require manual transcription of test data to compute the word error rate (WER).
Approach: They propose an approach to estimate word error rate (e-WER) that does not require a gold-standard transcription of the test set.
Outcome: The proposed approach achieves 16.9% WER root mean squared error across 1,400 sentences.
European Language Grid: An Overview (2020.lrec-1)

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Challenge: European LT business is dominated by hundreds of SMEs and a few large players, with technologies that outperform the global players.
Approach: European Language Grid (ELG) project addresses this by establishing the ELG as the primary platform for LT in Europe.
Outcome: European Language Grid (ELG) will be primary platform for LT in Europe . it will provide access to hundreds of commercial and non-commercial LTs for all European languages, including running tools and services as well as data sets and resources.

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