Abstract: Existing algorithms for estimating the model parameters of an explicit-duration hidden Markov model (HMM) usually require computations as large as O((MD/sup 2/ + M/sup 2/)T) or O(M/sup 2/ DT ...

本文简明讲述GMM-HMM在语音识别上的原理，建模和测试过程。 ANS：一个有隐节点（unobservable）和可见节点（visible）的马尔科夫过程（见详解）。 隐节点表示状态，可见节点表示我们听到的语音或者看到的时序信号。 最开始时，我们指定这个HMM的结构，训练HMM ...

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 # ...

Popular fantasy author Leigh Bardugo is primarily known for her Grishaverse series, high fantasy YA novels about a magical subclass who can manipulate matter at its most fundamental levels. Full of ...

If you’re a romance reader, or you’ve been in the vicinity of a bookstore anytime over the past couple of years, you’re probably familiar with this trend. Go to the display with the sign reading some ...

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 ...

In recent years, the accuracy of speech recognition (SR) has been one of the most active areas of research. Despite that SR systems are working reasonably well in quiet conditions, they still suffer ...

Abstract: We consider range-Doppler imaging via transmitting a train of probing pulses as in radar and active sonar. We show that range-Doppler imaging can be formulated as a sparse signal recovery ...