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Publications sorted by date Click here to see the publications sorted by type. PDF Timothy J. Hazen, "Latent topic modeling for audio corpus summarization", Proceedings of Interspeech, Florence, Italy, August Ciprian Chelba, Timothy J.
Hazen and James R. Hazen, "A comparison of query-by-example methods for spoken term detection", Proceedings of Interspeech, Brighton, England, September Hazen and Daniel Schultz, "Multi-modal user authentication from video for mobile or variable-environment applications", Proceedings of Interspeech, Antwerp, Belgium, August Glass, "Multimodal speech recognition with ultrasonic sensors", Proceedings of Interspeech, Antwerp, Belgium, August Hazen, "Dimensionality reduction for speech recognition using neighborhood components analysis", Proceedings of Interspeech, Antwerp, Belgium, August Glass, and Douglas A.
Glass, Brennan Sherry, Timothy J. Hazen, Chao Wang, and Tao Wu "Exploiting context information in spoken dialogue interaction with mobile devices", Proc. Lee Hetherington, Timothy J. Hazen, and James R.
Abidi Editorspp. Hazen, "Automatic alignment and error correction of human generated transcripts for long speech recordings", Proceedings of InterspeechPittsburgh, Pennsylvania, September Glass, "A comparative study of methods for handheld speaker verification in realistic noisy conditions", Proceedings of OdysseyThe Speaker and Language Recognition Workshop, June Glass, "Speaker verification over handheld devices with realistic noisy speech data", Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, Toulouse, France, May Hazen, "A sinusoidal model approach to acoustic landmark detection and segmentation for robust segment-based speech recognition", Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, Toulouse, France, May PDF James R.
Glass, "Automatic processing of audio lectures for information retrieval: Vocabulary selection and language modeling", Proceedings of the International Conference on Acoustics, Speech, and Signal Processingpp.
Glass, "A segment-based audio-visual speech recognizer: Data collection, development and initial experiments", Proceedings of the International Conference on Multimodal Interfaces, State College, Pennsylvania, October, Hazen, "Minimum classification error training of landmark models for real-time continuous speech recognition", Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, pp.
Hazen, Eugene Weinstein and Alex Park, "Towards robust person recognition on handheld devices using face and speaker identification technologies", Proceeding of the International Conference on Multimodal Interfaces, Vancouver, B.
Jones, Alex Park, Linda C. Kukolich and Douglas A. Hazen, "Utilizing untranscribed user utterances for improving language models based on confidence scoring", Proceedings of the Ninth Annual Meeting of the Association for Natural Language Processing, Yokohama, Japan, March, Pusateri and Timothy J.
Hazen, Joseph Polifroni and Stephanie Seneff, "Recognition confidence scoring for use in speech understanding systems", Computer Speech and Language, vol.
Postscript file Timothy J. Kamppari and Timothy J.Authors: Ciprian Chelba (CLSP, The Johns Hopkins University) (Submitted on 24 Jan ) Abstract: The thesis presents an attempt at using the syntactic structure in natural language for improved language models for speech recognition.
Structured language modeling. Computer Speech and Language, 14(4)–Ciprian Chelba. Exploiting Syntactic Structure for Nat-ural Language Modeling.. etal. (), which used Maximum Entropy modeling to allow for the use of shallow.
A method of indexing a speech segment includes identifying at least two alternative word sequences based on the speech segment. For each word in the alternative sequences, information is placed in an entry for the word in the index. The information indicates the position of the word in at least one of the alternative sequences.
Exploiting Syntactic Structure for Natural Language Modeling. Article (PDF Available) · September with 37 Reads. Cite this publication. Ciprian Chelba.
The thesis presents an. Ciprian Chelba Alex Acero This paper addresses the problem of integrating speech and text content sources for the document search problem, as well as its usefulness from an ad-hoc retrieval -keyword search - point of view.
Ciprian Chelba, Timothy J. Hazen, Bhuvana Ramabhadran, and Murat Saraclar, "Speech Retrieval", Chapter 15 of Spoken Language Understanding: Systems for Extracting Semantic Information from Speech, Gokhan Tur and Renato De Mori (Editors), John Wiley & Sons,