chcpy

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

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

使用Python进行自然语言处理相关实践，如新词发现，主题模型，隐马尔模型词性标注，Word2Vec，情感分析

Supplementary information and code for INTERSPEECH 2018 paper: Singing voice phoneme segmentation by hierarchically inferring syllable and phoneme onset positions

Full Bayesian Inference for Hidden Markov Models