Speech & natural language publications
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Detecting Action Items in Multi-party Meetings: Annotation and Initial Experiments
This paper presents the results of initial investigation and experiments into automatic action item detection from transcripts of multi-party human-human meetings.
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Combining Feature Sets with Support Vector Machines: Application to Speaker Recognition
In this paper, we describe a general technique for optimizing the relative weights of feature sets in a support vector machine (SVM) and show how it can be applied to…
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Multirate ASR Models for Phone-Class Dependent N-Best List Rescoring
In this work, we describe a technique to augment a recognizer that uses this compromise with information from multiple-rate spectral models that emphasize either better time or better frequency resolution…
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A* Based Joint Segmentation and Classification of Dialog Acts in Multiparty Meetings
We investigate the use of the A* algorithm for joint segmentation and classification of dialog acts (DAs) of the ICSI Meeting Corpus. The proposed method is evaluated on both traditional…
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Four Weightings and a Fusion: A Cepstral-SVM System for Speaker Recognition
A new speaker recognition system is described that uses Mel-frequency cepstral features. This system is a combination of four support vector machines (SVMs). All the SVM systems use polynomial features…
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Incorporating Tandem / HATs MLP Features into SRI’s Conversational Speech Recognition System
We describe the development of a speech recognition system for conversational telephone speech (CTS) that incorporates acoustic features estimated by multilayer perceptrons (MLPs). The acoustic features are based on frame-level…
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MLLR Transforms as Features in Speaker Recognition
We explore the use of adaptation transforms employed in speech recognition systems as features for speaker recognition. This approach is attractive because, unlike standard frame-based cepstral speaker recognition models, it…
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Speech Translation for Low-Resource Languages: The Case of Pashto
We present a number of challenges and solutions that have arisen in the development of a speech translation system for American English and Pashto, highlighting those specific to a very…
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Robust Feature Compensation in Nonstationary and Multiple Noise Environments
We extend the POF algorithm to allow a more accurate way to select noisy-to-clean feature mappings, by allowing different combinations of speech and noise to have combination-specific mappings selected depending…
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Distinguishing Deceptive from Non-Deceptive Speech
We present results from a study seeking to distinguish deceptive from non-deceptive speech using machine learning techniques on features extracted from a large corpus of deceptive and non-deceptive speech. We…
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Comparing HMM, Maximum Entropy, and Conditional Random Fields for Disfluency Detection
We compare a generative hidden Markov model (HMM)-based approach and two conditional models — a maximum entropy (Maxent) model and a conditional random field (CRF) — for detecting disfluencies in…
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Does Active Learning Help Automatic Dialog Act Tagging in Meeting Data?
We ask if active learning with lexical cues can help for this task and this domain. To better address this question, we explore active learning for two different types of…