Speech & natural language publications

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…

In this work, we are presenting a class-based score combination technique that relies on clustering of both the target models and the test utterances in a vector space defined by…

In this paper, we describe the development of a large-vocabulary speech recognition system for Levantine Arabic, which was a new dialectal recognition task for our existing system. We discuss the…

This work introduces an automatic procedure for determining the size of regression class trees for individual speakers using an ensemble of speaker-level features to control the number of transformations, if…

SLU systems contain an automatic speech recognition (ASR) component and must be robust to noise due to the spontaneous nature of spoken language and the errors introduced by ASR. SLU…

We report on results of two experiments designed to compare subjects’ ability to extract information from audio recordings of conversational telephone speech (CTS) with their ability to extract information from…

We present an efficient discriminative training procedure utilizing phone lattices. Different approaches to expediting lattice generation, statistics collection, and convergence were studied.

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 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…