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--- |
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license: apache-2.0 |
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tags: |
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- Tensorflow |
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- Spoken Language Identification |
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language: |
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- en |
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- zh |
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metrics: |
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- accuracy |
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pipeline_tag: audio-classification |
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--- |
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# Spoken_language_identification |
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## Model description |
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This is a spoken language recognition model trained on private dataset using Tensorflow. |
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the model uses the CRNN-Attention architecture that has previously been used for extracting utterance-level feature representations. |
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The system is trained with recordings sampled at 16kHz, single channel, and 16-bit Signed Integer PCM encoding. |
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The model can classify a speech utterance according to the language spoken. |
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It covers 13 different languages( |
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chinese |
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english |
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french |
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german |
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indonesian |
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italian |
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japanese |
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korean |
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portuguese |
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russian |
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spanish |
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turkish |
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vietnamese |
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) |
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## Intended uses & Limitations |
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#### How to use |
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```python |
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from huggingface_hub import from_pretrained_keras |
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model = from_pretrained_keras("SpeechFlow/spoken_language_identification") |
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``` |
