Speech & natural language publications

We present a set of annotations of hierarchical topic segmentations and action item sub-dialogues collected over 65 meetings from the ICSI and ISL meeting corpora, designed to support automatic meeting…

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…

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…

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…

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…

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…

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…

We describe the development of a speech recognition system for conversational telephone speech (CTS) that incorporates acoustic features estimated by multilayer perceptrons (MLP). The acoustic features are based on frame-level…

We report in this paper experiences and insights resulting from the first two years of work in two similar projects on meeting tracking and understanding. The projects are the DARPA-funded…

In this paper, we evaluate the use of a conditional random field (CRF) for this task and relate results with this model to our prior work. We evaluate across two…

This paper describes current and planned research efforts towards developing multimodal discourse understanding for an automated personal office assistant.

In this paper we provide a brief overview of research on structural metadata extraction in the DARPA EARS rich transcription program. Tasks include detection of sentence boundaries, filler words, and…