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README.md
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- Spoken Language Identification
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language:
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- en
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metrics:
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- accuracy
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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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---
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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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import
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```
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