Datasets:

language-and-voice-lab
/

samromur_milljon

@@ -59,7 +59,7 @@ task_ids: []
 ### Dataset Summary
-Samrómur Milljón is the result of the automatic verification of the corpus [Samromur Unverified 22.07](http://hdl.handle.net/20.500.12537/265) which contains 2,159,314 (2233 hours) speech-recordings in Icelandic that are essentially unverified. Samrómur Milljón consists of 1,002,157 of speech recordings (967 hours). The transcripts accompanying these recordings were automatically verified using various ASR systems such as: [Wav2Vec2](https://huggingface.co/carlosdanielhernandezmena/wav2vec2-large-xlsr-53-icelandic-ep10-1000h), [Whisper](https://huggingface.co/language-and-voice-lab/whisper-large-icelandic-30k-steps-1000h), [Faster-Whisper](https://huggingface.co/language-and-voice-lab/whisper-large-icelandic-30k-steps-1000h-ct2) and [NeMo](https://huggingface.co/carlosdanielhernandezmena/stt_is_quartznet15x5_ft_ep56_875h). If any of the ASR systems gets a transcript that perfectly matches the reference transcription, the speech-recording is then cosidered as verified.
 ### Example Usage

 ### Dataset Summary
+Samrómur Milljón is the result of the automatic verification of the corpus [Samromur Unverified 22.07](http://hdl.handle.net/20.500.12537/265) which contains 2,159,314 (2233 hours) speech-recordings in Icelandic that are essentially unverified. Samrómur Milljón consists of 1,002,157 of speech recordings (967 hours). The transcripts accompanying these recordings were automatically verified using various ASR systems such as: [Wav2Vec2](https://huggingface.co/carlosdanielhernandezmena/wav2vec2-large-xlsr-53-icelandic-ep10-1000h), [Whisper](https://huggingface.co/language-and-voice-lab/whisper-large-icelandic-30k-steps-1000h), [Faster-Whisper](https://huggingface.co/language-and-voice-lab/whisper-large-icelandic-30k-steps-1000h-ct2) and [NeMo](https://huggingface.co/carlosdanielhernandezmena/stt_is_quartznet15x5_ft_ep56_875h). If any of the ASR systems get a transcript that perfectly matches the reference transcription, the speech-recording is then cosidered as verified.
 ### Example Usage