Add errata for incorrect ISO language codes for Hebrew/Javanese
#7
by
sdelangen
- opened
README.md
CHANGED
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@@ -316,6 +316,8 @@ To perform inference on the GPU, add `run_opts={"device":"cuda"}` when calling
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The system is trained with recordings sampled at 16kHz (single channel).
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The code will automatically normalize your audio (i.e., resampling + mono channel selection) when calling *classify_file* if needed. Make sure your input tensor is compliant with the expected sampling rate if you use *encode_batch* and *classify_batch*.
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#### Limitations and bias
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Since the model is trained on VoxLingua107, it has many limitations and biases, some of which are:
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The system is trained with recordings sampled at 16kHz (single channel).
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| 317 |
The code will automatically normalize your audio (i.e., resampling + mono channel selection) when calling *classify_file* if needed. Make sure your input tensor is compliant with the expected sampling rate if you use *encode_batch* and *classify_batch*.
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Warning: In the dataset and in the defaults of this model (see [`label_encoder.txt`](label_encoder.txt), the used ISO language code for Hebrew is obsolete (should be `he` instead of `iw`). The ISO language code for Javanese is incorrect (should be `jv` instead of `jw`). See [issue #2396](https://github.com/speechbrain/speechbrain/issues/2396).
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#### Limitations and bias
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Since the model is trained on VoxLingua107, it has many limitations and biases, some of which are:
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