INFORMATION ACCESS IN LARGE SPOKEN ARCHIVES (2008)
Martin Franz, Bhuvana Ramabhadran, Todd Ward, Michael Picheny
Digital archives have emerged as the pre-eminent method for capturing the human experience. Before such archives can be used efficiently, their contents must be described. The scale of such archives...
Geoffrey Zweig, Michael Picheny
The development of robust, accurate and efficient speech recognition systems is critical to the widespread adoption of a large number of commercial applications. These include automated customer...
Douglas W. Oard, Dina Demner-fushman, Samuel Gustman, William J. Byrne, Dagobert Soergel, Bonnie Dorr, ...
Abstract. The MALACH project seeks to help users find information in a vast multilingual collections of untranscribed oral history interviews. This paper introduces the goals of the project and...
Semantic Confidence Measurement for Spoken Dialogue Systems (2005)
Ruhi Sarikaya, Yuqing Gao, Michael Picheny, Hakan Erdogan
Abstract—This paper proposes two methods to incorporate semantic information into word and concept level confidence measurement. The first method uses tag and extension probabilities obtained from...
Bhuvana Ramabhadran, Jing Huang, Michael Picheny
Digital archives have emerged as the pre-eminent method for capturing the human experience. Before such archives can be used efficiently, their contents must be described. The NSF-funded MALACH...
Automated transcription and topic segmentation of large spoken archives (2003)
Martin Franz, Bhuvana Ramabhadran, Todd Ward, Michael Picheny
Digital archives have emerged as the pre-eminent method for capturing the human experience. Before such archives can be used efficiently, their contents must be described. The scale of such archives...
Supporting access to large digital oral history archives (2002)
Samuel Gustman, Dagobert Soergel, Douglas Oard, William Byrne, Michael Picheny, Bhuvana Ramabhadran, ...
This paper, describes our experience with the creation, indexing and providing access to a very large archive of videotaped oral histories—116,000 hours of digitized interviews in 32 languages from...
Supporting access to large digital oral history archives (2002)
Samuel Gustman, Dagobert Soergel, Douglas Oard, William Byrne, Michael Picheny, Bhuvana Ramabhadran, ...
This paper describes our experience with the creation, indexing, and provision of access to a very large archive of videotaped oral histories − 116,000 hours of digitized interviews in 32 languages...
Semantic structured language models (2002)
Hakan Erdogan, Ruhi Sarikaya, Yuqing Gao, Michael Picheny
In this study, we propose two novel semantic language modeling techniques for spoken dialog systems. These methods are called semantic concept based language modeling and semantic structured language...
Supporting access to large digital oral history archives (2002)
Samuel Gustman, Dagobert Soergel, Douglas Oard, William Byrne, Michael Picheny, Bhuvana Ramabhadran, ...
This paper describes our experience with the creation, indexing, and provision of access to a very large archive of videotaped oral histories- 116,000 hours of digitized interviews in 32 languages...
Recent advances in speech recognition system for ibm darpa communicator (2001)
Yuqing Gao, Yongxin Li, Vaibhava Goel, Michael Picheny
In this paper, we present methods to improve speech recognition performance of the IBM DARPA Communicator system. Our efforts for acoustic modeling include training a domain specific yet broad...
Innovative Approaches for Large Vocabulary Name Recognition (2001)
Yuqing Gao, Bhuvana Ramabhadran, Julian Chen, Hakan Erdogan, Hakan Erdo ˘gan, Michael Picheny
Automatic name dialing is a practical and interesting application of speech recognition on telephony systems. The IBM name recognition system is a large vocabulary, speaker independent system...
Innovative approaches for large vocabulary name recognition (2001)
Yuqing Gao, Bhuvana Ramabhadran, Julian Chen, Michael Picheny
Automatic name dialing is a practical and interesting application of speech recognition on telephony systems. The IBM name recognition system is a large vocabulary, speaker independent system...