spoken-language-processing

Tracking the progress in end-to-end speech translation

A PyPI package for fast word/character error rate (WER/CER) calculation

code for paper "Cross-modal Contrastive Learning for Speech Translation" (NAACL 2022)

Praaline is an open-source system to manage, annotate, visualise and analyse spoken language corpora

This is an implementation of paper "End-to-end Speech Translation via Cross-modal Progressive Training" (Interspeech2021)

10 digits recognition system based on DTW, HMM and GMM

This project demonstrates the use of generic bi-directional LSTM models for predicting importance of words in a spoken dialgoue for understanding its meaning. The model operates on human-annotated corpus of word importance for its training and evaluation. The corpus can be downloaded from: http://latlab.ist.rit.edu/lrec2018

software that analyzes speech utterances

Example codes for my PhD work on recognizing dimensional emotions in spoken dialogue

Speech subtask of the 2017 NLI Shared Task

Convex combination of phonotactics for large-scale spoken language identification

Code for the paper "Learning English with Peppa Pig" https://doi.org/10.48550/arXiv.2202.12917

🚧The Internet + project YiLuYuBan.The project is too messy, has moved to https://github.com/wanghao15536870732/ChatWithChinese

RNN for Spoken Language Understanding

A guide to spoken language processing