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stt_sw_ctc_model

Automatic Speech Recognition
NeMo
PyTorch
Swahili
speech
Swahili
audio
CTC
Conformer
Transformer
NeMo
Model card Files
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@@ -46,9 +46,12 @@ asr_model = nemo_asr.models.ASRModel.from_pretrained("decoder/STT_SW_Model")
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  ```
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  ### Transcribing using Python
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- First, let's get a sample
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  ```
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- !wget https://filebin.net/198phynus62ua08w/common_voice_sw_27777611.wav
 
 
 
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  ```
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  Then simply do: if in colab
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  ```
 
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  ```
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  ### Transcribing using Python
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+ First, let's get a samples of three different files
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  ```
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+ !wget https://rapidshare.io/2oUF/common_voice_sw_27777611.wav
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+ !wget https://rapidshare.io/2oUG/common_voice_sw_27777627.wav
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+ !wget https://rapidshare.io/2oUH/common_voice_sw_27791961.wav
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+
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  ```
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  Then simply do: if in colab
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  ```