“Speech Technology Group”版本间的差异
来自cslt Wiki
（→Welcome to Speech Recognition team in CSLT, RIIT, Tsinghua University.） |
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'''1. Speech recognition''' | '''1. Speech recognition''' | ||
| − | We are interested in large vocubulary speech recognition, particularly on the modern topics such as noise robust ASR, deep | + | We are interested in large vocubulary speech recognition, particularly on the modern topics such as noise robust ASR, deep learning. The research also |
| + | extendes to speech analysis and spoken document retreival. | ||
| − | '''2 | + | '''2. Language processing''' |
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The focus is semantic embedding, sequential modeling, translation, question answering and dialog system. | The focus is semantic embedding, sequential modeling, translation, question answering and dialog system. | ||
| − | ''' | + | '''3. Financial processing''' |
We also are interested in machine methods for financial data technical analysis, including prediction for financial data, stock portfolio, risk potting. | We also are interested in machine methods for financial data technical analysis, including prediction for financial data, stock portfolio, risk potting. | ||
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[[People]] | [[People]] | ||
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2015年7月10日 (五) 06:06的最后版本
Welcome to Speech Recognition team in CSLT, RIIT, Tsinghua University.
Research focus:
1. Speech recognition
We are interested in large vocubulary speech recognition, particularly on the modern topics such as noise robust ASR, deep learning. The research also extendes to speech analysis and spoken document retreival.
2. Language processing
The focus is semantic embedding, sequential modeling, translation, question answering and dialog system.
3. Financial processing
We also are interested in machine methods for financial data technical analysis, including prediction for financial data, stock portfolio, risk potting.
