Research introduction

From cslt Wiki
Revision as of 09:06, 30 September 2014 by Cslt (Talk | contribs)

Jump to: navigation, search

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 here

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.

Voice Print Recognition Lab

Natural Language Processing Lab