Learn how to build speech recognition for low-resource languages using Transformers in this step-by-step video tutorial. Follow along as the instructor demonstrates fine-tuning XLSR-Wav2Vec2 for Automatic Speech Recognition (ASR) using a Hindi dataset from Mozilla Common Voice. Explore the Colab Notebook provided by Hugging Face, which guides you through the process of implementing ASR for languages with limited resources. Gain insights into the XLSR-Wav2Vec2 model and its application in natural language processing. Discover how to leverage 🤗 Transformers library to create powerful speech recognition systems for various languages.
Build Speech Recognition for Any Language with Transformers - Finetune XLSR-Wav2Vec2 for Hindi
1littlecoder via YouTube
Overview
Syllabus
Build Speech Recognition for any Language with Transformers - Finetune XLSR-Wav2Vec2 (Hindi)
Taught by
1littlecoder
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