Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition

no code implementations • 5 Jul 2024 • Ye Bai, Jingping Chen, Jitong Chen, Wei Chen, Zhuo Chen, Chuang Ding, Linhao Dong, Qianqian Dong, Yujiao Du, Kepan Gao, Lu Gao, Yi Guo, Minglun Han, Ting Han, Wenchao Hu, Xinying Hu, Yuxiang Hu, Deyu Hua, Lu Huang, Mingkun Huang, Youjia Huang, Jishuo Jin, Fanliu Kong, Zongwei Lan, Tianyu Li, Xiaoyang Li, Zeyang Li, Zehua Lin, Rui Liu, Shouda Liu, Lu Lu, Yizhou Lu, Jingting Ma, Shengtao Ma, Yulin Pei, Chen Shen, Tian Tan, Xiaogang Tian, Ming Tu, Bo wang, Hao Wang, Yuping Wang, Yuxuan Wang, Hanzhang Xia, Rui Xia, Shuangyi Xie, Hongmin Xu, Meng Yang, Bihong Zhang, Jun Zhang, Wanyi Zhang, Yang Zhang, Yawei Zhang, Yijie Zheng, Ming Zou

Modern automatic speech recognition (ASR) model is required to accurately transcribe diverse speech signals (from different domains, languages, accents, etc) given the specific contextual information in various application scenarios.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

Seed-TTS: A Family of High-Quality Versatile Speech Generation Models

2 code implementations • 4 Jun 2024 • Philip Anastassiou, Jiawei Chen, Jitong Chen, Yuanzhe Chen, Zhuo Chen, Ziyi Chen, Jian Cong, Lelai Deng, Chuang Ding, Lu Gao, Mingqing Gong, Peisong Huang, Qingqing Huang, Zhiying Huang, YuanYuan Huo, Dongya Jia, ChuMin Li, Feiya Li, Hui Li, Jiaxin Li, Xiaoyang Li, Xingxing Li, Lin Liu, Shouda Liu, Sichao Liu, Xudong Liu, Yuchen Liu, Zhengxi Liu, Lu Lu, Junjie Pan, Xin Wang, Yuping Wang, Yuxuan Wang, Zhen Wei, Jian Wu, Chao Yao, Yifeng Yang, YuanHao Yi, Junteng Zhang, Qidi Zhang, Shuo Zhang, Wenjie Zhang, Yang Zhang, Zilin Zhao, Dejian Zhong, Xiaobin Zhuang

Seed-TTS offers superior controllability over various speech attributes such as emotion and is capable of generating highly expressive and diverse speech for speakers in the wild.

In-Context Learning Language Modelling +1

Lagrangian Modelling and Motion Stability of Synchronous Generator Power Systems

no code implementations • 7 Nov 2023 • Feng Ji, Lu Gao, Chang Lin, Yang Liu

This paper proposes to analyze the motion stability of synchro-nous generator power systems using a Lagrangian model derived in the configuration space of generalized position and speed.

Group frame neural network of moving object ghost imaging combined with frame merging algorithm

no code implementations • 1 Sep 2022 • Da Chen, Shan-Guo Feng, Hua-Hua Wang, Jia-Ning Cao, Zhi-Wei Zhang, Zhi-Xin Yang, Ao Yan, Lu Gao, Ze Zhang

The nature of multiple samples to extract correlation information limits the applications of ghost imaging of moving objects.