Speech & natural language publications

We investigate several feature normalization and scaling approaches for use in speaker verification based on support vector machines.

We address the problem of retrieving out-of-vocabulary (OOV) words/queries from audio archives for spoken term detection (STD) task. In this work, we employ hybrid recognition systems which contain both words…

In this work we show how interactivity in a voice-enabled question answering application may improve speech recognition. We allow the user to provide a target named entity before asking the…

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…

In this paper we investigate the use of dialogue act tagging to improve the identification of action item descriptions and prosodic information to improve action item agreements.

In this paper we introduce a new task for multi-party meetings: extracting question/answer pairs. We propose a method based on discriminative classification of individual sentences as questions and answers via…

We introduce a multi-stage ensemble framework, Error-Driven Generalist+ Expert or Edge, for improved classification on large-scale text categorization problems.

In this work, we present various methods to detect labeling inconsistencies in the ICSI meeting corpus. We show that by automatically detecting and removing the inconsistent examples from the training…

Detecting whether a talker is speaking his native language is useful for speaker recognition, speech recognition, and intelligence applications. We study the problem of detecting nonnative speakers of American English,…

This paper presents a method for training SVM-based classification systems for combination with other existing classification systems designed for the same task.

We investigate the question of whether phone recognition models trained on large English databases can be used for speaker recognition in another language.

We discuss a named entity recognition system for Arabic, and show how we incorporated the information provided by MADA, a full morphological tagger which uses a morphological analyzer.