Add links to SDP configs

#5
by igitman - opened
Files changed (1) hide show
  1. README.md +3 -3
README.md CHANGED
@@ -191,9 +191,9 @@ The tokenizers for these models were built using the text transcripts of the tra
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  The model in this collection are trained on a composite dataset (NeMo PnC IT ASRSET) comprising of 487 hours of Italian speech:
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- - Mozilla Common Voice 12.0 (Italian) - 220 hours after data cleaning
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- - Multilingual LibriSpeech (Italian) - 214 hours after data cleaning
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- - VoxPopuli transcribed subset (Italian) - 53 hours after data cleaning
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  ## Performance
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  The model in this collection are trained on a composite dataset (NeMo PnC IT ASRSET) comprising of 487 hours of Italian speech:
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+ - Mozilla Common Voice 12.0 (Italian) - 220 hours after data cleaning. [Speech Data Processor](https://github.com/NVIDIA/NeMo-speech-data-processor) config used to prepare this data is [here](https://github.com/NVIDIA/NeMo-speech-data-processor/blob/main/dataset_configs/italian/mcv/config.yaml).
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+ - Multilingual LibriSpeech (Italian) - 214 hours after data cleaning. [Speech Data Processor](https://github.com/NVIDIA/NeMo-speech-data-processor) config used to prepare this data is [here](https://github.com/NVIDIA/NeMo-speech-data-processor/blob/main/dataset_configs/italian/mls/config.yaml).
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+ - VoxPopuli transcribed subset (Italian) - 53 hours after data cleaning. [Speech Data Processor](https://github.com/NVIDIA/NeMo-speech-data-processor) config used to prepare this data is [here](https://github.com/NVIDIA/NeMo-speech-data-processor/blob/main/dataset_configs/italian/voxpopuli/config.yaml).
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  ## Performance
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