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license: apache-2.0 |
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# UK & Ireland Accent Classification Model |
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This is a model to classify and identify the accent of a UK or Ireland speaker among one of the following accents: |
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* Irish English |
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* Midlands English |
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* Northern English |
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* Scottish English |
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* Southern English |
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* Welsh English |
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The model implements transfer learning feature extraction using [Yamnet](https://tfhub.dev/google/yamnet/1) model in order to train a model. |
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## Yamnet Model |
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Yamnet is an audio event classifier trained on the AudioSet dataset to predict audio events from the AudioSet ontology. It is available on TensorFlow Hub. |
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Yamnet accepts a 1-D tensor of audio samples with a sample rate of 16 kHz. |
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As output, the model returns a 3-tuple: |
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- scores of shape (N, 521) representing the scores of the 521 classes |
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- embeddings of shape (N, 1024) |
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- log_mel spectrogram representing the log-mel spectrogram of the entire audio frame |
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We will use the embeddings, which are the features extracted from the audio samples, as the input to our dense model. |
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## Dense Model |
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The dense model that we used consists of: |
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- An input layer which is embedding output of the Yamnet model |
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- 4 Dense hidden layers and 4 Dropout layers |
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- An output dense layer |
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## Dataset |
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The dataset used is the **[Open-source Multi-speaker Corpora of the English Accents in the British Isles](https://openslr.org/83/)** which consists of a total of **17,877 audio files**. |
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### Dataset Info |
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@inproceedings{demirsahin-etal-2020-open, |
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title = {{Open-source Multi-speaker Corpora of the English Accents in the British Isles}}, |
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author = {Demirsahin, Isin and Kjartansson, Oddur and Gutkin, Alexander and Rivera, Clara}, |
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booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)}, |
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month = may, |
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year = {2020}, |
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pages = {6532--6541}, |
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address = {Marseille, France}, |
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publisher = {European Language Resources Association (ELRA)}, |
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url = {https://www.aclweb.org/anthology/2020.lrec-1.804},\n\ ISBN = {979-10-95546-34-4}, |
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} |
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# Demo |
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A demo is available in HuggingFace Spaces ... |
