IEEE

Maximum F1-Score Discriminative Training Criterion for Automatic Mispronunciation Detection

Abstract: We carry out an in-depth investigation on a newly proposed Maximum F1-score Criterion (MFC) discriminative training objective function for Goodness of Pronunciation (GOP) based automatic ...
GitHub

duster-amigos/hmm_cpp

A complete C++ implementation of the Python hmmlearn library, featuring modern C++17, Eigen for linear algebra, and comprehensive HMM algorithms. hmm_c++/ ├── include/ # Header files │ ├── types.hpp # ...
IEEE

A Novel Algorithm for Training Hidden Markov Models with Positive and Negative Examples

In this paper, we present a novel training method based on Baum-Welch algorithm for hidden Markov models (HMM), named as Comprehensive HMM (CompHMM), which changes the traditional approach of training ...
PNAS

Parallel molecular computation on digital data stored in DNA

The exponential accumulation of digital data is expected to outstrip magnetic and optical storage media. DNA’s significantly higher information density combined with the availability of technology for ...
GitHub

Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.

Sequentia is a Python package that provides various classification and regression algorithms for sequential data, including methods based on hidden Markov models and dynamic time warping. Some ...