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stt_it_conformer_ctc_large

Automatic Speech Recognition

hf-asr-leaderboard

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igitman commited on Oct 25, 2022

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@@ -190,9 +190,9 @@ All the models in this collection are trained on a composite dataset (NeMo ASRSE
 The list of the available models in this collection is shown in the following table. Performances of the ASR models are reported in terms of Word Error Rate (WER%) with greedy decoding.
-| Version | Tokenizer             | Vocabulary Size | MCV 11.0 Dev | MCV 11.0 Test | MLS Dev | MLS Test | VoxPopuli Dev | VoxPopuli Test | Train Dataset   |
-|---------|-----------------------|-----------------|--------------|---------------|---------|----------|---------------|----------------|-----------------|
-| 1.13.0  | SentencePiece Unigram | 128             | 6.65         | 7.20          | 14.77   | 11.76    | 14.77         | 18.06          | NeMo ASRSET 2.0 |
 While deploying with [NVIDIA Riva](https://developer.nvidia.com/riva), you can combine this model with external language models to further improve WER. The WER(%) of the latest model with different language modeling techniques are reported in the following table.

 The list of the available models in this collection is shown in the following table. Performances of the ASR models are reported in terms of Word Error Rate (WER%) with greedy decoding.
+| Version | Tokenizer             | Vocabulary Size | MCV 11.0 Dev | MCV 11.0 Test | MLS Dev | MLS Test | VoxPopuli Dev | VoxPopuli Test | Train Dataset      |
+|---------|-----------------------|-----------------|--------------|---------------|---------|----------|---------------|----------------|--------------------|
+| 1.13.0  | SentencePiece Unigram | 128             | 6.65         | 7.20          | 14.77   | 11.76    | 14.77         | 18.06          | NeMo ASRSET It 2.0 |
 While deploying with [NVIDIA Riva](https://developer.nvidia.com/riva), you can combine this model with external language models to further improve WER. The WER(%) of the latest model with different language modeling techniques are reported in the following table.