USE OF METADATA TO IMPROVE RECOGNITION OF SPONTANEOUS SPEECH AND NAMED ENTITIES (2008)
Bhuvana Ramabhadran, Olivier Siohan, Geoffrey Zweig
With improved recognition accuracies for LVCSR tasks, it has become possible to search large collections of spontaneous speech for a variety of information. The MALACH corpus of Holocaust...
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...
Building an Information Retrieval Test Collection for (2004)
Spontaneous Conversational Speech, Douglas W. Oard, Dagobert Soergel, David Doermann, Xiaoli Huang, G. Craig Murray, ...
Test collections model use cases in ways that facilitate evaluation of information retrieval systems. This paper describes the use of search-guided relevance assessment to create a test collection...
Bhuvana Ramabhadran, Jing Huang, Upendra Chaudhari, Giridharan Iyengar, Harriet J. Nock
This paper addresses the influence of audio segmentation and segment clustering on automatic transcription accuracy for large spoken archives. The work forms part of the ongoing MALACH project, which...
Improvements in English ASR for the MALACH project using syllable-centric models (2003)
Abhinav Sethy, Bhuvana Ramabhadran
LVCSR systems have traditionally used phones as the basic acoustic unit for recognition. Syllable and other longer length units provide an efficient means for modeling long-term temporal dependencies...
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...
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...
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...
Degree granted by Dept. of Electrical and Computer Engineering, Cullen College of Engineering.