Zobrazeno 1 - 10
of 1 020
pro vyhledávání: '"Yang, Yilin"'
Autor:
Peng, Yifan, Kulikov, Ilia, Yang, Yilin, Popuri, Sravya, Lu, Hui, Wang, Changhan, Gong, Hongyu
There have been emerging research interest and advances in speech-to-speech translation (S2ST), translating utterances from one language to another. This work proposes Multitask Speech Language Model (MSLM), which is a decoder-only speech language mo
Externí odkaz:
http://arxiv.org/abs/2403.12408
Autor:
Peng, Yifan, Kulikov, Ilia, Yang, Yilin, Popuri, Sravya, Lu, Hui, Wang, Changhan, Gong, Hongyu
Speech language models (LMs) are promising for high-quality speech synthesis through in-context learning. A typical speech LM takes discrete semantic units as content and a short utterance as prompt, and synthesizes speech which preserves the content
Externí odkaz:
http://arxiv.org/abs/2403.12402
Autor:
Communication, Seamless, Barrault, Loïc, Chung, Yu-An, Meglioli, Mariano Coria, Dale, David, Dong, Ning, Duppenthaler, Mark, Duquenne, Paul-Ambroise, Ellis, Brian, Elsahar, Hady, Haaheim, Justin, Hoffman, John, Hwang, Min-Jae, Inaguma, Hirofumi, Klaiber, Christopher, Kulikov, Ilia, Li, Pengwei, Licht, Daniel, Maillard, Jean, Mavlyutov, Ruslan, Rakotoarison, Alice, Sadagopan, Kaushik Ram, Ramakrishnan, Abinesh, Tran, Tuan, Wenzek, Guillaume, Yang, Yilin, Ye, Ethan, Evtimov, Ivan, Fernandez, Pierre, Gao, Cynthia, Hansanti, Prangthip, Kalbassi, Elahe, Kallet, Amanda, Kozhevnikov, Artyom, Gonzalez, Gabriel Mejia, Roman, Robin San, Touret, Christophe, Wong, Corinne, Wood, Carleigh, Yu, Bokai, Andrews, Pierre, Balioglu, Can, Chen, Peng-Jen, Costa-jussà, Marta R., Elbayad, Maha, Gong, Hongyu, Guzmán, Francisco, Heffernan, Kevin, Jain, Somya, Kao, Justine, Lee, Ann, Ma, Xutai, Mourachko, Alex, Peloquin, Benjamin, Pino, Juan, Popuri, Sravya, Ropers, Christophe, Saleem, Safiyyah, Schwenk, Holger, Sun, Anna, Tomasello, Paden, Wang, Changhan, Wang, Jeff, Wang, Skyler, Williamson, Mary
Large-scale automatic speech translation systems today lack key features that help machine-mediated communication feel seamless when compared to human-to-human dialogue. In this work, we introduce a family of models that enable end-to-end expressive
Externí odkaz:
http://arxiv.org/abs/2312.05187
Autor:
Huang, Yiwen, Yang, Yilin, Li, Hao, Qiu, Jing, Qi, Zhantong, Wang, Jiayu, Zhang, Yuting, Li, Yuanhua, Zheng, Yuanlin, Chen, Xianfeng
With the advance development in quantum science, constructing a large-scale quantum network has become a hot area of future quantum information technology. Future quantum networks promise to enable many fantastic applications and will unlock fundamen
Externí odkaz:
http://arxiv.org/abs/2312.03279
Autor:
Communication, Seamless, Barrault, Loïc, Chung, Yu-An, Meglioli, Mariano Cora, Dale, David, Dong, Ning, Duquenne, Paul-Ambroise, Elsahar, Hady, Gong, Hongyu, Heffernan, Kevin, Hoffman, John, Klaiber, Christopher, Li, Pengwei, Licht, Daniel, Maillard, Jean, Rakotoarison, Alice, Sadagopan, Kaushik Ram, Wenzek, Guillaume, Ye, Ethan, Akula, Bapi, Chen, Peng-Jen, Hachem, Naji El, Ellis, Brian, Gonzalez, Gabriel Mejia, Haaheim, Justin, Hansanti, Prangthip, Howes, Russ, Huang, Bernie, Hwang, Min-Jae, Inaguma, Hirofumi, Jain, Somya, Kalbassi, Elahe, Kallet, Amanda, Kulikov, Ilia, Lam, Janice, Li, Daniel, Ma, Xutai, Mavlyutov, Ruslan, Peloquin, Benjamin, Ramadan, Mohamed, Ramakrishnan, Abinesh, Sun, Anna, Tran, Kevin, Tran, Tuan, Tufanov, Igor, Vogeti, Vish, Wood, Carleigh, Yang, Yilin, Yu, Bokai, Andrews, Pierre, Balioglu, Can, Costa-jussà, Marta R., Celebi, Onur, Elbayad, Maha, Gao, Cynthia, Guzmán, Francisco, Kao, Justine, Lee, Ann, Mourachko, Alexandre, Pino, Juan, Popuri, Sravya, Ropers, Christophe, Saleem, Safiyyah, Schwenk, Holger, Tomasello, Paden, Wang, Changhan, Wang, Jeff, Wang, Skyler
What does it take to create the Babel Fish, a tool that can help individuals translate speech between any two languages? While recent breakthroughs in text-based models have pushed machine translation coverage beyond 200 languages, unified speech-to-
Externí odkaz:
http://arxiv.org/abs/2308.11596
Maximum mean discrepancy (MMD) is a particularly useful distance metric for differentially private data generation: when used with finite-dimensional features it allows us to summarize and privatize the data distribution once, which we can repeatedly
Externí odkaz:
http://arxiv.org/abs/2303.01687
With the increase of intelligent devices leading to increasing demand for traffic, traffic offloading has become a challenging problem. The space-air-ground integrated network (SAGIN) is a superior network architecture to solve this problem. The exis
Externí odkaz:
http://arxiv.org/abs/2212.02075
Autor:
Chen, Peng-Jen, Tran, Kevin, Yang, Yilin, Du, Jingfei, Kao, Justine, Chung, Yu-An, Tomasello, Paden, Duquenne, Paul-Ambroise, Schwenk, Holger, Gong, Hongyu, Inaguma, Hirofumi, Popuri, Sravya, Wang, Changhan, Pino, Juan, Hsu, Wei-Ning, Lee, Ann
We study speech-to-speech translation (S2ST) that translates speech from one language into another language and focuses on building systems to support languages without standard text writing systems. We use English-Taiwanese Hokkien as a case study,
Externí odkaz:
http://arxiv.org/abs/2211.06474
This paper focuses on Sentiment Analysis of Covid-19 related messages from the r/Canada and r/Unitedkingdom subreddits of Reddit. We apply manual annotation and three Machine Learning algorithms to analyze sentiments conveyed in those messages. We us
Externí odkaz:
http://arxiv.org/abs/2205.06863
Autor:
Jiang, Xiao, You, Hongtao, Niu, Yixuan, Ding, Yudan, Chen, Zhengxin, Wang, Huibo, Xu, Yuan, Zhou, Peng, Wei, Li, Deng, Danni, Xue, Lian, Peng, Ya, Yang, Yilin, Fan, Ligang, Shao, Naiyuan
Publikováno v:
In Cancer Letters 1 July 2024 593