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pro vyhledávání: '"Bahmaninezhad, Fahimeh"'
We introduce a bilingual solution to support English as secondary locale for most primary locales in hybrid automatic speech recognition (ASR) settings. Our key developments constitute: (a) pronunciation lexicon with grapheme units instead of phone u
Externí odkaz:
http://arxiv.org/abs/2308.06327
Speech separation refers to extracting each individual speech source in a given mixed signal. Recent advancements in speech separation and ongoing research in this area, have made these approaches as promising techniques for pre-processing of natural
Externí odkaz:
http://arxiv.org/abs/1912.07814
Autor:
Bahmaninezhad, Fahimeh, Wu, Jian, Gu, Rongzhi, Zhang, Shi-Xiong, Xu, Yong, Yu, Meng, Yu, Dong
Speech separation has been studied widely for single-channel close-talk microphone recordings over the past few years; developed solutions are mostly in frequency-domain. Recently, a raw audio waveform separation network (TasNet) is introduced for si
Externí odkaz:
http://arxiv.org/abs/1905.07497
Autor:
Lee, Kong Aik, Hautamaki, Ville, Kinnunen, Tomi, Yamamoto, Hitoshi, Okabe, Koji, Vestman, Ville, Huang, Jing, Ding, Guohong, Sun, Hanwu, Larcher, Anthony, Das, Rohan Kumar, Li, Haizhou, Rouvier, Mickael, Bousquet, Pierre-Michel, Rao, Wei, Wang, Qing, Zhang, Chunlei, Bahmaninezhad, Fahimeh, Delgado, Hector, Patino, Jose, Wang, Qiongqiong, Guo, Ling, Koshinaka, Takafumi, Zhang, Jiacen, Shinoda, Koichi, Trong, Trung Ngo, Sahidullah, Md, Lu, Fan, Tang, Yun, Tu, Ming, Teh, Kah Kuan, Tran, Huy Dat, George, Kuruvachan K., Kukanov, Ivan, Desnous, Florent, Yang, Jichen, Yilmaz, Emre, Xu, Longting, Bonastre, Jean-Francois, Xu, Chenglin, Lim, Zhi Hao, Chng, Eng Siong, Ranjan, Shivesh, Hansen, John H. L., Todisco, Massimiliano, Evans, Nicholas
The I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE). The latest edition of such joint submission was in SRE 2018, in which the I4U submission was among the best-performing systems. SRE'18 also
Externí odkaz:
http://arxiv.org/abs/1904.07386
This study presents systems submitted by the University of Texas at Dallas, Center for Robust Speech Systems (UTD-CRSS) to the MGB-3 Arabic Dialect Identification (ADI) subtask. This task is defined to discriminate between five dialects of Arabic, in
Externí odkaz:
http://arxiv.org/abs/1710.00113
Autor:
Zhang, Chunlei, Bahmaninezhad, Fahimeh, Ranjan, Shivesh, Yu, Chengzhu, Shokouhi, Navid, Hansen, John H. L.
This document briefly describes the systems submitted by the Center for Robust Speech Systems (CRSS) from The University of Texas at Dallas (UTD) to the 2016 National Institute of Standards and Technology (NIST) Speaker Recognition Evaluation (SRE).
Externí odkaz:
http://arxiv.org/abs/1610.07651
Publikováno v:
In Speech Communication May 2021 129:7-16
Akademický článek
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Publikováno v:
2014 12th International Conference on Signal Processing (ICSP); 2014, p561-566, 6p
Publikováno v:
Artificial Intelligence & Signal Processing; 2014, p183-193, 11p