Voicebox

Voicebox

Voicebox is an open-source speech recognition toolkit for speech processing research. It provides algorithms for speech analysis, synthesis, and recognition. Voicebox is implemented in MATLAB and supports Windows, Mac, and Linux.
Voicebox image
speech-recognition speech-processing open-source

Voicebox: Open-Source Speech Recognition Toolkit

An open-source speech recognition toolkit for speech processing research providing algorithms for speech analysis, synthesis, and recognition available for Windows, Mac, and Linux implementation in MATLAB.

What is Voicebox?

Voicebox is an open-source toolkit for speech and audio processing research, implemented in MATLAB. It provides a comprehensive set of over 200 speech analysis, feature extraction, classification, synthesis, and recognition functions.

Some key features of Voicebox include:

  • Algorithms for speech analysis like spectrogram, cepstrum, Linear Predictive Coding
  • Feature extraction functions like MFCC, PLP, RASTA-PLP
  • Speech activity detection, endpoint detection
  • Speech synthesis functions using KLSYN88 algorithm
  • Isolated word recognition using HMMs
  • Speech enhancement algorithms like spectral subtraction, Wiener filtering

Voicebox works on Windows, Mac, and Linux platforms. The toolbox is useful for researchers, academics, and engineers working on speech processing projects to quickly prototype and evaluate different algorithms. It provides modular, well-documented functions that can be easily integrated into larger applications.

Some limitations are that it only focuses on speech processing, lacks support for deep learning models, and has limited visualization capabilities. But overall it is one of the most comprehensive open-source speech toolkits available.

Voicebox Features

Features

  1. Speech recognition
  2. Speech synthesis
  3. Speaker verification
  4. Speech enhancement
  5. Feature extraction
  6. Acoustic modeling
  7. Language modeling
  8. Voice activity detection

Pricing

  • Open Source

Pros

Open source code

Wide range of algorithms

MATLAB implementation

Cross-platform compatibility

Active user community

Well documented

Cons

Steep learning curve

Requires MATLAB license

Some algorithms are outdated

Limited graphical interface

Not designed for end users


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