The use of speaker correlation information for automatic speech recognition

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.Includes bibliographical references (p. 171-179).by Timothy J. Hazen.Ph.D

On the Social and Technical Challenges of Web Search Autosuggestion Moderation

Past research shows that users benefit from systems that support them in their writing and exploration tasks. The autosuggestion feature of Web search engines is an example of such a system: It helps users in formulating their queries by offering a list of suggestions as they type. Autosuggestions are typically generated by machine learning (ML) systems trained on a corpus of search logs and document representations. Such automated methods can become prone to issues that result in problematic suggestions that are biased, racist, sexist or in other ways inappropriate. While current search engines have become increasingly proficient at suppressing such problematic suggestions, there are still persistent issues that remain. In this paper, we reflect on past efforts and on why certain issues still linger by covering explored solutions along a prototypical pipeline for identifying, detecting, and addressing problematic autosuggestions. To showcase their complexity, we discuss several dimensions of problematic suggestions, difficult issues along the pipeline, and why our discussion applies to the increasing number of applications beyond web search that implement similar textual suggestion features. By outlining persistent social and technical challenges in moderating web search suggestions, we provide a renewed call for action.Comment: 17 Pages, 4 images displayed within 3 latex figure

Open-vocabulary spoken utterance retrieval using confusion networks

This paper presents a novel approach to open-vocabulary spoken utterance retrieval using confusion networks. If out-of-vocabulary (OOV) words are present in queries and the corpus, word-based indexing will not be sufficient. For this problem, we apply phone confusion networks and combine them with word confusion networks. With this approach, we can generate a more compact index table that enables robust keyword matching compared with typical lattice-based methods. In the retrieval experiments with speech recordings in MIT lecture corpus, our method using phone confusion networks outperformed lattice-based methods especially for OOV queries

Period and chemical evolution of SC stars

The SC and CS stars are thermal-pulsing AGB stars with C/O ratio close to unity. Within this small group, the Mira variable BH Cru recently evolved from spectral type SC (showing ZrO bands) to CS (showing weak C2). Wavelet analysis shows that the spectral evolution was accompanied by a dramatic period increase, from 420 to 540 days, indicating an expanding radius. The pulsation amplitude also increased. Old photographic plates are used to establish that the period before 1940 was around 490 days. Chemical models indicate that the spectral changes were caused by a decrease in stellar temperature, related to the increasing radius. There is no evidence for a change in C/O ratio. The evolution in BH Cru is unlikely to be related to an on-going thermal pulse. Periods of the other SC and CS stars, including nine new periods, are determined. A second SC star, LX Cyg, also shows evidence for a large increase in period, and one further star shows a period inconsistent with a previous determination. Mira periods may be intrinsically unstable for C/O ~ 1; possibly because of a feedback between the molecular opacities, pulsation amplitude, and period. LRS spectra of 6 SC stars suggest a feature at wavelength > 15 micron, which resembles one recently attributed to the iron-sulfide troilite. Chemical models predict a large abundance of FeS in SC stars, in agreement with the proposed association.Comment: 14 pages, 20 figures. MNRAS, 2004, accepted for publication. Janet Mattei, one of the authors, died on 22 March, 2004. This paper is dedicated to her memor

Wild Blueberries 1999 CSREES Progress Reports

The 1999 edition of the Wild Blueberries CSREES Progress Reports was prepared for the Maine Blueberry Commission and the University of Maine Blueberry Advisory Committee by researchers at the University of Maine, Orono. Projects in this report include: 1. Effects of QF Processing on Microbiological Quality of Maine Wild Blueberries 2. Separation of Maggot-Infested Blueberries in the IQF Processing Line 3. Determination of Pesticide Residue Levels in Fresh and Processed Wild Blueberries 4. Control Tactics for Blueberry Pest Insects 5. IPM Strategies 6. Biology and Ecology of Blueberry Pest Insects 7. Survey of Stem Blight and Leaf Spot Diseases in Lowbush Blueberry Fields 8. Phosphorus/Nitrogen Fertilizer Ratio 9. Effect of Fertilizer Timing on Lowbush Blueberry Growth and Productivity 10. Effect of Soil pH on Nutrient Uptake 11. Effect of Boron Application Methods on Boron Uptake in Lowbush Blueberries 12. Effect of Nutri-Phite P+K on growth and yield of lowbush blueberry 13. Effect of Crop-Set on growth and yield of lowbush blueberry 14. Crop year fertilization of lowbush blueberry 15. Alternative Methods of Grass Control 16. Cultural Weed Management Using pH 17. Investigation of Hexazinone Alternatives for Weed Control 18. Comparison of Sulfosate and Glyphosate for Weed Control 19. Evaluation of VC1447 for Weed Control in Wild blueberries 20. Blueberry/ Cranberry Extension Education Program in 1999 21. Effect of Rate, Formulation and Application Method on Efficacy and Phytotoxicity of Granular Hexazinone in Wild Blueberry Fields 22. 1999 Fungicide Evaluation Field Trial 23. 1999 Hexazinone Groundwater Survey Pollination 24. Sustainable Pollination of Wild Blueberr