Speech-Recognition-Using-HMM

Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others.

《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现

Android MARY TTS - an open-source, offline HMM-Based text-to-speech synthesis system based on MaryTTS

Neural HMMs are all you need (for high-quality attention-free TTS)

Deep Markov Models

Traditional ASR (Signal & Cepstral Analysis, DTW, HMM) & DNNs (Custom Models + DeepSpeech) on Indian Accent Speech

Tutorials and my solutions to the Udacity NLP Nanodegree

Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Supervised training supported. Easily extendable with other types of probablistic models.

code for unsupervised learning Neural Hidden Markov Models paper

Lyrics-to-audio-alignement system. Based on Machine Learning Algorithms: Hidden Markov Models with Viterbi forced alignment. The alignment is explicitly aware of durations of musical notes. The phonetic model are classified with MLP Deep Neural Network.