Speech & natural language publications
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The case for automatic higher-level features in forensic speaker recognition
We provide an overview of automatic higher-level systems and discuss potential advantages, as well as issues, for their use in the forensic context.
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Modeling prior belief for speaker verification SVM systems
In this paper we propose to relax the assumption that the covariance matrix is the identity matrix, allowing it to be a more general block diagonal matrix. We show results…
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Effects of Vocal Effort and Speaking Style on Text-Independent Speaker Verification
We study the question of how intrinsic variations (associated with the speaker rather than the recording environment) affect text-independent speaker verification performance.
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Learning diagnostic models using speech and language measures
We describe results that show the effectiveness of machine learning in the automatic diagnosis of certain neurodegenerative diseases, several of which alter speech and language production. We analyzed audio from…
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Model Driven Segmentation of Articulating Humans in Laplacian Eigenspace
We propose a general approach using Laplacian Eigenmaps and a graphical model of the human body to segment 3D voxel data of humans into different articulated chains. In the bottom-up…
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Improving alignments for better confusion networks for combining machine translation systems
The state-of-the-art system combination method for machine translation (MT) is the word-based combination using confusion networks. One of the crucial steps in confusion network decoding is the alignment of different…
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Using Semantic Features to Improve Task Identification in Email Messages
This paper addresses the lack of training data using domain-specific semantic features in document representation for reducing vocabulary mismatches and enhancing the discriminative power of trained classifiers.
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Spoken language understanding—interpreting the signs given by a speech signal
Spoken language understanding (SLU) is the interpretation of signs conveyed by a speech signal. SLU and natural language understanding (NLU) share the goal of obtaining a conceptual representation of natural…
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Applicability of Information Theory to the Quantification of Responses to Anthropogenic Noise By Southeast Alaskan Humpback Whales
We assess the effectiveness of applying information theory to the characterization and quantification of the affects of anthropogenic vessel noise on humpback whale (Megaptera novaeangliae) vocal behavior in and around…
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Speech Segmentation and Spoken Document Processing
This article describes different levels of speech segmentation, approaches to automatically recovering segment boundary locations, and experimental results demonstrating impact on several language processing tasks.
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Embedded Speech Recognition Applications in Mobile Phones: Status, Trends, and Challenges
In this paper, we will provide an overview of embedded speech recognition centric applications in mobile phones, specifically focusing on current status, industry trends, and challenges in customer acceptance.
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An Iterative Unsupervised Learning Method for Information Distillation
In this work, we propose an iterative unsupervised sentence extraction method to answer open-ended natural language queries about an event. The approach consists of finding the subset of sentences that…