What is Kaldi?
It is a state-of-the-art automatic speech recognition toolkit. It is intended for use by speech recognition researchers and professionals.
Kaldi is a tool in the Speech Recognition Tools category of a tech stack.
Kaldi is an open source tool with 11.1K GitHub stars and 4.8K GitHub forks. Here’s a link to Kaldi's open source repository on GitHub
Who uses Kaldi?
Companies
4 companies reportedly use Kaldi in their tech stacks, including Labs, Voicebridge, and Speech.
Developers
8 developers on StackShare have stated that they use Kaldi.
Kaldi Alternatives & Comparisons
What are some alternatives to Kaldi?
Botium Speech Processing
It is a unified, developer-friendly API to the best available Speech-To-Text and Text-To-Speech services.
Speechly
It can be used to complement any regular touch user interface with a real time voice user interface.
It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.
wav2letter++
wav2letter++ is a fast open source speech processing toolkit from the Speech Team at Facebook AI Research. It is written entirely in C++ and uses the ArrayFire tensor library and the flashlight machine learning library for maximum efficiency. Our approach is detailed in this arXiv paper.
LibreASR
It is an On-Premises, Streaming Speech Recognition System built with PyTorch and fastai.
SpeechPy
The purpose of this project is to provide a package for speech processing and feature extraction. This library provides most frequent used speech features including MFCCs and filterbank energies alongside with the log-energy of filterbanks.
