wav2vec2 large xlsr 53 icelandic ep30 967h The "wav2vec2 large xlsr 53 icelandic ep30 967h" is an acoustic model suitable for Automatic Speech Recognition in Icelandic. It is the result of fine tuning the model facebook/wav2vec2 large xlsr 53 for 30 epochs with 967 hours of Icelandic data collected by the Language and Voice Laboratory through the platform Samrómur. The specific data that was used to fine tune the model is the corpus Samrómur Milljón, which is the result of the automatic verification of 1 million of recordings comming from the corpus "Samromur Unverified 22.07". It has to be pointed out that this model was trained with different data than our previous model wav2vec2 large xlsr 53 icelandic ep10 1000h . The fine tuning process was performed during July (2023) in the servers of the Language and Voice Laboratory (https://lvl.ru.is/) at Reykjavík University (Iceland) by Carlos Daniel Hernández Mena. Evaluation Test Result : 0.076 BibTeX entry and citation info When publishing results based on these models please refer to: Acknowledgements Thanks to Jón Guðnason, head of the Language and Voice Lab for providing computational power to make this model possible. We also wan…
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