New Blog 🤖3 Ways to Automate Data Labeling with Label Studio
Back to integrations

Automatic speech recognition with Nvidia NeMo

Overview

Combine the power of Label Studio with Nvidia’s NeMo to enhance work done by researchers and practitioners in automatic speech recognition (ASR), text-to-speech synthesis (TTS), large language models (LLMs), and natural language processing (NLP).

With the community-created integration, create audio pre-annotations and automatic transcriptions within a selected speech area within Label Studio.

Benefits

Using NeMo for pre-annotation in Label Studio has the following benefits:

  • Reliability: NeMo is capable of providing highly accurate speech-to-text transcriptions.
  • Speed: Using NeMo for transcriptions speeds the labeling process by offloading most transcription tasks to a ML model, freeing annotators to work on more difficult transcriptions.

Related Integrations

OpenMMLab

Bounding box image labeling

TensorFlow

Open source deep learning framework

Baal

Library to enable Bayesian active learning

Grounding DINO

Text-Driven Object Detection Model