Datasets:

speechbrain
/

LoquaciousSet

Tasks:

Automatic Speech Recognition

Modalities:

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Languages:

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ArXiv:

Tags:

robust-speech-recognition

noisy-speech-recognition

speech-recognition

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Dataset card Data Studio Files Files and versions

LM and Lexicon paper reference

#4

by JackTemaki - opened 21 days ago

base: refs/heads/main

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README.md +3 -0

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@@ -200,6 +200,9 @@ Each language model is limited to a vocabulary containing 216k words.
 We also provide a pronunciation lexicon using ARPA-style phonemes containing one or multiple pronunciations for each of the words in the vocabulary.
 The original pronunciations are based on [CMUDict 0.7b](http://www.speech.cs.cmu.edu/cgi-bin/cmudict). Missing pronunciations were generated using [Sequitur](https://github.com/sequitur-g2p/sequitur-g2p), for which we also provide the trained G2P model.
 #### Referencing the Loquacious Set and SpeechBrain
 ```

 We also provide a pronunciation lexicon using ARPA-style phonemes containing one or multiple pronunciations for each of the words in the vocabulary.
 The original pronunciations are based on [CMUDict 0.7b](http://www.speech.cs.cmu.edu/cgi-bin/cmudict). Missing pronunciations were generated using [Sequitur](https://github.com/sequitur-g2p/sequitur-g2p), for which we also provide the trained G2P model.
+Details related to the language model and lexicon resources can be found [in this paper](https://www-i6.informatik.rwth-aachen.de/publications/download/1282/RossenbachNickSchmittRobinRaissiTinaBergerSimonKleppelLarissaSchl%FCterRalf--SupplementaryResourcesAnalysisforAutomaticSpeechRecognitionSystemsTrainedontheLoquaciousDataset--2025.pdf).
 #### Referencing the Loquacious Set and SpeechBrain
 ```