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Elvo001/Somali-English-Transcription

Domaine:

natural language processing

Type de record:

model
Créateur:
Elv
Hôte:
Somali-English Transcription # Somali-English Multilingual ASR Fine-Tuning (Azure ML) This project enhances transcription accuracy for Somali-English audio by utilizing a fine-tuned `wav2vec2` multilingual model. Built with HuggingFace Transformers and trained on Azure ML Studio with low-resource data. ## Stack - Model: `facebook/wav2vec2-large-xlsr-53` - Platform: Azure ML Studio - Libraries: HuggingFace Transformers, PyTorch, torchaudio - Augmentation: speed perturbation, noise injection, resampling ## Results - Word Error Rate reduced by ~30% - Domain-specific vocabulary coverage improved - Downstream topic classification F1 increased by +12% ## Training Pipeline 1. Preprocess raw Somali-English audio 2. Apply data augmentation 3. Fine-tune on Azure using GPU-enabled cluster 4. Track WER, CER via validation scripts

Visit

github.com

Tasks

automatic speech recognitionspeech processing

Languages

Somali

Similaires

Automatic transcription of Somali languageNote on transcription of Somali wordsTowards automatic transcription of Somali languageEnglish-Somali Somali-English dictionary = Ingirisi-Soomaali qaamuus Soomaali-Ingirisi : approximately 10,000 words with meanings from Somalian to English and English to SomaliPhonetic Transcription of African American Vernacular EnglishSomali-English Parallel Corpus

Automatic transcription of Somali language

Note on transcription of Somali words

Towards automatic transcription of Somali language

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Somali-English Parallel Corpus

This dataset contains high-quality parallel sentence pairs, multi-sentence alignments, and paragraph