nvidia
/

stt_it_conformer_transducer_large

Automatic Speech Recognition

hf-asr-leaderboard

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igitman commited on Oct 25, 2022

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@@ -187,7 +187,7 @@ The list of the available models in this collection is shown in the following ta
 | Version | Tokenizer             | Vocabulary Size | MCV 11.0 Dev | MCV 11.0 Test | MLS Dev | MLS Test | VoxPopuli Dev | VoxPopuli Test | Train Dataset   |
 |---------|-----------------------|-----------------|--------------|---------------|---------|----------|---------------|----------------|-----------------|
-| 1.0.0   | SentencePiece Unigram | 1024            | 4.80         | 5.24          | 14.62   | 12.18    | 12.00         | 15.15          | NeMo ASRSET 2.0 |
 ## Limitations
 Since this model was trained on publicly available speech datasets, the performance of this model might degrade for speech which includes technical terms, or vernacular that the model has not been trained on. The model might also perform worse for accented speech.

 | 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 | 1024            | 4.80         | 5.24          | 14.62   | 12.18    | 12.00         | 15.15          | NeMo ASRSET 2.0 |
 ## Limitations
 Since this model was trained on publicly available speech datasets, the performance of this model might degrade for speech which includes technical terms, or vernacular that the model has not been trained on. The model might also perform worse for accented speech.