nvidia
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stt_en_fastconformer_hybrid_large_streaming_multi

Automatic Speech Recognition

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vnoroozi commited on Oct 5, 2023

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@@ -106,15 +106,15 @@ The list of the available models in this collection is shown in the following ta
 ### Transducer Decoder
-| Version | Tokenizer | Vocabulary Size | att_context_sizes | LS test-other ([70,13]-1040ms) | LS test-other ([70,6]-480ms) | LS test-other ([70,1]-80ms) | LS test-other ([70,0]-0s) | Train Dataset |
-|-----------|------------|----------|-----------------------|-----------------------|---------------|------------|-----------|----------------|
-| 1.20.0    | SPE Unigram| 1024     | [[70,13],[70,6],[70,1],[70,0]] | 5.4           | 5.7                        | 6.4                   | 7.0       | NeMo ASRSET 3.0 |
 ### CTC Decoder
-| Version | Tokenizer | Vocabulary Size | att_context_sizes | LS test-other ([70,13]-1040ms) | LS test-other ([70,6]-480ms) | LS test-other ([70,1]-80ms) | LS test-other ([70,0]-0s) | Train Dataset |
-|-----------|------------|----------|--------|---------------|---------------|------------|-----------|----------------|
-| 1.20.0    | SPE Unigram| 1024     | [[70,13],[70,6],[70,1],[70,0]] | 6.2           | 6.7                        | 7.8                   | 8.4       | NeMo ASRSET 3.0 |
 ## How to Use this Model

 ### Transducer Decoder
+|  att_context_sizes | LS test-other ([70,13]-1040ms) | LS test-other ([70,6]-480ms) | LS test-other ([70,1]-80ms) | LS test-other ([70,0]-0s) | Train Dataset |
+|-----------------------|-----------------------|---------------|------------|-----------|----------------|
+| [[70,13],[70,6],[70,1],[70,0]] | 5.4           | 5.7                        | 6.4                   | 7.0       | NeMo ASRSET 3.0 |
 ### CTC Decoder
+|att_context_sizes | LS test-other ([70,13]-1040ms) | LS test-other ([70,6]-480ms) | LS test-other ([70,1]-80ms) | LS test-other ([70,0]-0s) | Train Dataset |
+|--------|---------------|---------------|------------|-----------|----------------|
+|[[70,13],[70,6],[70,1],[70,0]] | 6.2           | 6.7                        | 7.8                   | 8.4       | NeMo ASRSET 3.0 |
 ## How to Use this Model