Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
Multilingual Voice Understanding Model
A curated list of pretrained sentence and word embedding models
PyTorch Implementation of TCSinger(EMNLP 2024): Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control
"百聆"是一个基于LLaMA的语言对齐增强的英语/中文大语言模型,具有优越的英语/中文能力,在多语言和通用任务等多项测试中取得ChatGPT 90%的性能。BayLing is an English/Chinese LLM equipped with advanced language alignment, showing superior capability in English/Chinese generation, instruction following and multi-turn interaction.
Text2Text Language Modeling Toolkit
PyTorch Implementation of TCSinger 2(ACL 2025): Customizable Multilingual Zero-shot Singing Voice Synthesis
Using joint training speaker encoder with consistency loss to achieve cross-lingual voice conversion and expressive voice conversion
AAAI-20 paper: Cross-Lingual Natural Language Generation via Pre-Training
Cross-Lingual Machine Reading Comprehension (EMNLP 2019)
This repo contains the code for the paper Neural Factor Graph Models for Cross-lingual Morphological Tagging.
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework
SWIM-IR is a Synthetic Wikipedia-based Multilingual Information Retrieval training set with 28 million query-passage pairs spanning 33 languages, generated using PaLM 2 and summarize-then-ask prompting.
A Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering
A diffusion-based cross-lingual voice conversion model, as my bachelor's thesis
Deep-learning system proposed by HFL for SemEval-2022 Task 8: Multilingual News Similarity
This repo is text to speech with learnable audio encoder without alignment with transcript reference
EMNLP 2022: ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization
Python source code for EMNLP 2020 paper "Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT".
Add a description, image, and links to the cross-lingual topic page so that developers can more easily learn about it.
To associate your repository with the cross-lingual topic, visit your repo's landing page and select "manage topics."