nvidia
/

parakeet-tdt_ctc-1.1b

Automatic Speech Recognition

hf-asr-leaderboard

Model card Files Files and versions Community

nithinraok commited on Aug 14

Commit

39b56d6

•

1 Parent(s): fa70500

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -258,7 +258,7 @@ The performance of Automatic Speech Recognition models is measuring using Word E
 The following tables summarizes the performance of the available models in this collection with the Transducer decoder. Performances of the ASR models are reported in terms of Word Error Rate (WER%) with greedy decoding.
-|**Version**|**Tokenizer**|**Vocabulary Size**|**AMI**|**Earnings-22**|**Giga Speech**|**LS test-clean**|**SPGI Speech**|**TEDLIUM-v3**|**Vox Populi**|**Common Voice**|
 |---------|-----------------------|-----------------|---------------|---------------|------------|-----------|-----|-------|------|------|
 | 1.23.0  | SentencePiece Unigram | 1024 | 15.94 | 11.86 | 10.19 | 1.82 | 3.67 | 2.24 | 3.87 | 6.19 | 8.69 |

 The following tables summarizes the performance of the available models in this collection with the Transducer decoder. Performances of the ASR models are reported in terms of Word Error Rate (WER%) with greedy decoding.
+|**Version**|**Tokenizer**|**Vocabulary Size**|**AMI**|**Earnings-22**|**Giga Speech**|**LS test-clean**| **LS test-other** | **SPGI Speech**|**TEDLIUM-v3**|**Vox Populi**|**Common Voice**|
 |---------|-----------------------|-----------------|---------------|---------------|------------|-----------|-----|-------|------|------|
 | 1.23.0  | SentencePiece Unigram | 1024 | 15.94 | 11.86 | 10.19 | 1.82 | 3.67 | 2.24 | 3.87 | 6.19 | 8.69 |