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--- |
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language: ga |
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datasets: |
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- common_voice |
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- living-audio-Irish |
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metrics: |
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- wer |
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tags: |
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- audio |
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- automatic-speech-recognition |
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- ga-IE |
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- speech |
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- Irish |
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- Gaelic |
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model-index: |
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- name: Wav2vec 2.0 large 300m XLS-R |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Common Voice 10.0 |
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type: common_voice |
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args: ga-IE |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 25.94 |
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--- |
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# Irish-Gaelic Automatic Speech Recognition |
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This is the model for Irish ASR. It has been trained on the Common-voice dataset and living Irish audio dataset. The Common-voice code for the Irish language is ga-IE. From the Common voice dataset, all the Validated audio clips and all the living audio clips were taken into account and after a random train-test split, 90% of the total dataset (5156 utterances) were taken for training, and the rest of the 10% of real data (579 utterances) were taken for testing. |
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This dataset was finetuned on wav2vec2-large-xls-r-300m. On the testing dataset, 25.94% of WER could be achieved. |
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### How to use |
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Example of transcribing the Common Voice audio clip from the invalidated dataset, using GPU if available. The model expects 16kHz audio. |
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```python |
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from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor |
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model = Wav2Vec2ForCTC.from_pretrained("Aditya3107/wav2vec2-large-xls-r-1b-ga-ie") |
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processor = Wav2Vec2Processor.from_pretrained("Aditya3107/wav2vec2-large-xls-r-1b-ga-ie") |
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# Reading taken audio clip |
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import librosa, torch |
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audio, rate = librosa.load("common-voice-irish/common_voice/cv-corpus-10.0-2022-07-04/ga-IE/clips/common_voice_ga-IE_1818627.mp3", sr = 16000) |
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# Taking an input value |
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input_values = processor(audio, sampling_rate=16_000, return_tensors = "pt", padding="longest").input_values |
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# Storing logits (non-normalized prediction values) |
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logits = model(input_values).logits |
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# Storing predicted ids |
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prediction = torch.argmax(logits, dim = -1) |
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# Passing the prediction to the tokenizer decode to get the transcription |
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transcription = processor.batch_decode(prediction)[0] |
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print(transcription) |
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``` |
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### Results |
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Example of the transcribed audio clips and testing on SCLITE. |
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``` |
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Speaker sentences 0: #utts: 1 |
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id: (common_voice_ga-IE_17401296.mp3) |
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Scores: (#C #S #D #I) 4 1 0 0 |
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Attributes: Case_sensitve |
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REF: an bhfuil cóta bán óir |
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HYP: an bhfuil cóta bán air |
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Eval: S |
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id: (common_voice_ga-IE_17410244.mp3) |
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Scores: (#C #S #D #I) 3 1 0 2 |
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Attributes: Case_sensitve |
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REF: *** ** an bud é sin |
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HYP: cad é an rud é sin |
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Eval: I I S |
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id: (common_voice_ga-IE_17410257.mp3) |
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Scores: (#C #S #D #I) 9 2 1 2 |
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Attributes: Case_sensitve |
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REF: i gabhaim buíochas libh a chairde ******* ** támindéagtstruth le tuilleadh uaibh ar baá |
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HYP: * gabhaim buíochas libh a chairde táimid ag tsnúth le tuilleadh uaibh ar ball |
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Eval: D I I S S |
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id: (common_voice_ga-IE_17410401.mp3) |
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Scores: (#C #S #D #I) 6 1 0 0 |
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Attributes: Case_sensitve |
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REF: níl ach tá peann ina phóca uige |
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HYP: níl ach tá peann ina phóca aige |
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Eval: S |
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id: (common_voice_ga-IE_17410403.mp3) |
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Scores: (#C #S #D #I) 5 1 0 1 |
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Attributes: Case_sensitve |
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REF: agus *** cadé an dath atá air |
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HYP: agus cad é an dath atá air |
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Eval: I S |
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id: (common_voice_ga-IE_17410412.mp3) |
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Scores: (#C #S #D #I) 6 2 0 0 |
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Attributes: Case_sensitve |
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REF: is lá é seo chun ceiliúradh a dhéan |
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HYP: is lá é seo chun céiliúradh a dhéanamh |
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Eval: S S |
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id: (common_voice_ga-IE_17444712.mp3) |
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Scores: (#C #S #D #I) 4 6 0 0 |
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Attributes: Case_sensitve |
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REF: don chathaoileach mirín de brom don stiúrdhóirat liam ón maoladha |
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HYP: don chathaoirleach máirín de brún don stiúrthóir liam ó maolaodha |
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Eval: S S S S S S |
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id: (common_voice_ga-IE_17449454.mp3) |
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Scores: (#C #S #D #I) 4 0 0 0 |
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Attributes: Case_sensitve |
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REF: ceacht a trí déag |
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HYP: ceacht a trí déag |
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Eval: |
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``` |
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### Future Tasks |
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The language model with KenLM will be added if any good resource of Irish text is found. |
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### Citation |
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If you want to cite this model you can use this: |
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``` |
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@MISC {, |
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author = "Aditya Parikh", |
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title = "Finetuned XLS-R model for Irish (Ga-IE) language for Automatic Speech Recognition", |
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howpublished = "{\url{https://huggingface.co./Aditya3107/wav2vec2-large-xls-r-1b-ga-ie}}", |
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month = "aug", |
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year = "2022" |
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} |
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``` |
