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HTK

Enables the creation and modification of hidden Markov models for various applications, including speech recognition, speech synthesis, character recognition, and DNA sequencing.

Made by Cambridge University Engineering Department (CUED)

    What is HTK?

    The Hidden Markov Model Toolkit (HTK) is a versatile software framework that enables the development and manipulation of hidden Markov models, a powerful statistical tool widely utilized in speech recognition research. While its primary application has been in the field of speech recognition, the toolkit's capabilities extend to diverse areas such as speech synthesis, character recognition, and even DNA sequencing analysis. With its portable design, HTK provides researchers and developers with a flexible platform to explore and innovate across a range of domains where hidden Markov models can be effectively applied

    Highlights

    • Supports building and manipulating hidden Markov models
    • Used in speech recognition research, as well as speech synthesis, character recognition, and DNA sequencing
    • Portable design allows for versatile application across various domains
    • Enables researchers and developers to explore and innovate with hidden Markov models