You can test this model online with the Space for Romanian Speech Recognition The model ranked TOP 1 on Romanian Speech Recognition during HuggingFace's Robust Speech Challenge : The 🤗 Speech Bench Speech Challenge Leaderboard Romanian Wav2Vec2 This model is a fine tuned version of facebook/wav2vec2 xls r 300m on the Common Voice 8.0 Romanian subset dataset, with extra training data from Romanian Speech Synthesis dataset. Without the 5 gram Language Model optimization, it achieves the following results on the evaluation set (Common Voice 8.0, Romanian subset, test split): Loss: 0.1553 Wer: 0.1174 Cer: 0.0294 Model description The architecture is based on facebook/wav2vec2 xls r 300m with a speech recognition CTC head and an added 5 gram language model (using pyctcdecode and kenlm) trained on the Romanian Corpora Parliament dataset. Those libraries are needed in order for the language model boosted decoder to work. Intended uses & limitations The model is made for speech recognition in Romanian from audio clips sampled at 16kHz . The predicted text is lowercased and does not contain any punctuation. How to use Make sure you have installed the correct dependencies for the language m…
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