“Research introduction”版本间的差异
| 第7行： | 第7行： | ||
===Automatic Speech Recognition Lab=== | ===Automatic Speech Recognition Lab=== | ||
| − | The ASR lab focuses on speech signal processing and spoken information retrieval. The research topics involve speech recognition, text to speech, spoken event detection, spoken term detection, spoken document retrieval. The current research focuses on sparse learning for speech signals, deep learning for speech signals and spoken documents, spoken term detection. | + | The ASR lab focuses on speech signal processing and spoken information retrieval. The research topics involve speech recognition, text to speech, spoken event detection, spoken term detection, spoken document retrieval. The current research focuses on sparse learning for speech signals, deep learning for speech signals and spoken documents, spoken term detection. The team has published more than 100 peer-reviewed papers, including some top-rank journals and international conferences, please check [ http://cslt.riit.tsinghua.edu.cn/lyy/riit/publications.phphere] |
We are actively collaborating with [http://sinovoice.com/ Sinovoice]. Based on the [http://www.hcicloud.com/ HCI cloud platform], our ASR technology is now serving more than 10 million users. We are also working with [http://hulan.com Huilan] and [http://www.pachira.cn/ Pachira] on intelligent QA and spoken information discovery. Previously, we collaborated with [http://tencent.com/zh-cn/index.shtml Tencent] on the project of Tencent ASR system. | We are actively collaborating with [http://sinovoice.com/ Sinovoice]. Based on the [http://www.hcicloud.com/ HCI cloud platform], our ASR technology is now serving more than 10 million users. We are also working with [http://hulan.com Huilan] and [http://www.pachira.cn/ Pachira] on intelligent QA and spoken information discovery. Previously, we collaborated with [http://tencent.com/zh-cn/index.shtml Tencent] on the project of Tencent ASR system. | ||
2014年9月30日 (二) 08:06的版本
目录
Research Scheme
Center for Speech and Language Technology (CSLT) devotes to edging cut research in speech and language processing. The main research scheme involves understanding patterns of human speech and language, retrieving information from spoken language materials, integration of multilevel resources of speech and languages. The research filed covers psychology, signal processing, linguistics, pattern recognition and machine learning, artificial intelligence and knowledge representation.
Research Labs
Automatic Speech Recognition Lab
The ASR lab focuses on speech signal processing and spoken information retrieval. The research topics involve speech recognition, text to speech, spoken event detection, spoken term detection, spoken document retrieval. The current research focuses on sparse learning for speech signals, deep learning for speech signals and spoken documents, spoken term detection. The team has published more than 100 peer-reviewed papers, including some top-rank journals and international conferences, please check [ http://cslt.riit.tsinghua.edu.cn/lyy/riit/publications.phphere]
We are actively collaborating with Sinovoice. Based on the HCI cloud platform, our ASR technology is now serving more than 10 million users. We are also working with Huilan and Pachira on intelligent QA and spoken information discovery. Previously, we collaborated with Tencent on the project of Tencent ASR system.
