Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
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Updated
Nov 15, 2024 - Python
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
Multilingual Voice Understanding Model
A curated list of pretrained sentence and word embedding models
“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(EMNLP 2024): Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control
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)
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework
This repo contains the code for the paper Neural Factor Graph Models for Cross-lingual Morphological Tagging.
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
A Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering
Python source code for EMNLP 2020 paper "Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT".
EMNLP 2022: ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization
mSimCSE: Multilingual SimCSE
Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems (AAAI-2020)
Code for InfoCTM: A Mutual Information Maximization Perspective of Cross-lingual Topic Modeling (AAAI2023)
PyTorch implementation of ACL paper https://arxiv.org/abs/1906.02656
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