Bablic

Bablic

Bablic is an open-source automatic speech recognition toolkit designed for speech researchers. It features Kaldi integration, data management tools, training pipelines, and evaluation metrics to help build speech recognition systems.
Bablic image
opensource speech-recognition kaldi research

Bablic: Open-Source Automatic Speech Recognition Toolkit

Bablic is an open-source automatic speech recognition toolkit designed for speech researchers. It features Kaldi integration, data management tools, training pipelines, and evaluation metrics to help build speech recognition systems.

What is Bablic?

Bablic is an open-source automatic speech recognition toolkit designed to help speech researchers build end-to-end speech recognition systems. It is built on top of Kaldi, a popular toolkit for speech recognition research.

Some of the key features Bablic offers include:

  • Easy Kaldi integration - It provides wrappers and templates to easily integrate Kaldi components into your workflows.
  • Data management tools - It has tools to help prepare and manage speech datasets for model training.
  • Training pipelines - It offers full pipelines to train acoustic, pronunciation and language models for speech recognition.
  • Evaluation metrics - Built-in tools to benchmark and evaluate the performance of speech recognition models.
  • Active open-source community - Bablic is actively developed and maintained through collaborations across industry and academia.

With its focus on developer productivity and modular design, Bablic aims to reduce the effort required for using Kaldi and lower the entry barrier for speech recognition research. Researchers can quickly prototype ideas, perform experiments at scale and integrate the latest Kaldi developments.

Bablic Features

Features

  1. Open source ASR toolkit
  2. Kaldi integration
  3. Data management tools
  4. Training pipelines
  5. Evaluation metrics

Pricing

  • Open Source

Pros

Open source and free

Integrates well with Kaldi

Provides tools to build full ASR systems

Cons

Limited documentation

Less flexible than building directly on Kaldi


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