Edit model card

Model Card for wav2vec2-nepali

wav2vec2-nepali is the fine-tuned model for Nepali language, developed by finetuning the Facebook's wav2vec2 speech recognition model

Model Details

This model is fine-tuned on Nepali language dataset, so it can be used for transcribing Nepali speech. This model can convert Nepali speech to text with a good accuracy of 91% in normal conditions.

Uses

  • For Nepali speech to text transcription
  • Can be used for Nepali voice typing
  • Can be integrated with other systems like speech summarizer, translation systems.

Training Details

Training Data

OpenSLR

Training Procedure

Training Notebook

Metrics

Character Error Rate Word Error Rate

Downloads last month
6
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train anish-shilpakar/wav2vec2-nepali