“Demos”版本间的差异

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'''Demo Video'''
 
'''Demo Video'''
  
We recorded an interesting video that show part of our research, have fun! [http://zhangmiao.cslt.org/实验室宣传.mov link]
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We recorded an interesting video that show part of our research, have fun! [http://zhangmiao.cslt.org/lab.wmv link]
  
  
'''Speech Technology'''
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'''ASR'''
  
[[文件:Tianxing.png|400px]]
 
* CSLT is collaborating with Sinovoice to develope its speech input app on mobiles. It is a free and open source package which supports various input methods including speech, pinyin and hand writting. We are supporting the kernel of ASR. It is a cloud-based LVCSR system that supports free speech input under complex acoustic environments. [http://www.tianxing.com/ '''Download from Sinovoice.''']
 
  
[[文件:Hcicloud-asr.png|200px]]
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[[文件:Hcicloud-asr.png|400px]]
* A simple online demo for our speech recognition technology can be found in the HCI Cloud research center. [http://hcicloud.com/experimental/getstart.html#%E8%AF%AD%E9%9F%B3%E8%AF%86%E5%88%AB '''Online demo from Sinvoice.''']
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* A simple online demo for our speech recognition technology can be found in the HCI Cloud research center. [http://hcicloud.com '''Online demo from Sinvoice.''']
  
[[文件:Shengmibao.png|400px]]
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'''VPR'''
* CSLT collaborated with d-EAR to develope a fast and robust speaker recognition system based on random digit strings. [http://www.d-ear.com/producejs.asp?id=95&classid=4&subclassid=2 '''download from d-EAR.''']
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[[文件:Shengmibao.png|400px]]
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* CSLT collaborated with d-EAR to develope a fast and robust speaker recognition system based on random digit strings. [http://d-ear.com/'''download from d-EAR.''']
  
  
'''Language Technology'''
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'''NLP'''
  
 
'''More demos'''
 
'''More demos'''
 
Other demos can be found in [http://47.92.96.222/]
 
Other demos can be found in [http://47.92.96.222/]

2020年5月3日 (日) 08:37的最后版本

Demo Video

We recorded an interesting video that show part of our research, have fun! link


ASR


Hcicloud-asr.png

  • A simple online demo for our speech recognition technology can be found in the HCI Cloud research center. Online demo from Sinvoice.

VPR

Shengmibao.png

  • CSLT collaborated with d-EAR to develope a fast and robust speaker recognition system based on random digit strings. download from d-EAR.


NLP

More demos Other demos can be found in [1]