This paper addresses selecting between candidate pronunciations for out-of-vocabulary words in speech processing tasks. We introduce a simple, unsupervised method that outperforms...
Christopher M. White, Abhinav Sethy, Bhuvana Ramab...
We present a data-driven framework for expanding the lexicon to improve Mandarin broadcast news and conversation speech recognition. The lexicon expansion includes the generation ...
This paper presents PDF-TREX, an heuristic approach for table recognition and extraction from PDF documents. The heuristics starts from an initial set of basic content elements an...
Realizing information exchange is a frequently recurring challenge in nearly every domain of computer science. Although languages, formalisms, and storage formats may differ in va...
Manuel Wimmer, Martina Seidl, Petra Brosch, Horst ...
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...