Speech & natural language publications

In this work we demonstrate an improvement in the state-of-the-art large vocabulary continuous speech recognition (LVCSR) performance, under clean and noisy conditions, by the use of visual information, in addition…

In collaboration with colleagues at UW, OGI, IBM, and SRI, we are developing technology to process spoken language from informal meetings.

The ecological and acoustic evidence provide insights about human language production in real-world contexts. Such evidence can also guide methods for the processing of spontaneous speech in automatic speech recognition…

We present a probabilistic model that uses both prosodic and lexical cues for the automatic segmentation of speech into topically coherent units. We propose two methods for combining lexical and…

We describe a new framework for distilling information from word lattices to improve the accuracy of speech recognition and obtain a more perspicuous representation of a set of alternative hypotheses.

Predicting the degree of nativeness of a student's utterance is an important issue in computer-aided language learning.

The procedure we propose in this paper aims to em cleanse/ such quick transcriptions so that they align better with the acoustic evidence and thus provide for better acoustic models…

This paper is situated in a long line of phonetic studies that seek to determine and qualify the acoustic cues humans use to identify stop place. The present study draws…

We describe a statistical approach for modeling dialogue acts in conversational speech, i.e., speech-act-like units such as Statement, Question, Backchannel, Agreement, Disagreement, and Apology. Our model detects and predicts dialogue…

This study's goal was to determine whether receiving a particular type of feedback on nativeness of second-language accent positively influenced pronunciation over time.

The EduSpeak(TM) system is a software development toolkit that enables developers of interactive language education software to use state-of-the-art speech recognition and pronunciation scoring technology.

We propose to use rate-specific phone models and pronunciations for ROS modeling at the word level. Words are given three types of pronunciations -- fast, slow, and medium -- consisting…