Papers › Vietnamese Automatic Speech Recognition using Wav2vec 2.0

Vietnamese Automatic Speech Recognition using Wav2vec 2.0

8 May 2022https://huggingface.co/khanhld/wav2vec2-base-vietnamese-160h 2022 5archive 2025-07-28

Le Duy Khanh

We fine-tuned the Wav2vec2-based model on about 160 hours of Vietnamese speech dataset from different resources, including VIOS, COMMON VOICE, FOSD, and VLSP (100h) using Connectionist Temporal Classification (CTC). As a result, we gain 10.78% and 15.05% (without Language Model) WER on COMMON VOICE and VIOS datasets, respectively.

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khanld/ASR-Wa2vec-Finetune officialpytorch report

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Automatic Speech Recognition Automatic Speech Recognition (ASR)Language Modeling Language Modelling Speech Recognition speech-recognition

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