Author: Colleen Richey

We present a system for detecting leadership and group cohesion in multiparty dialogs and broadcast conversations in English and Mandarin.

In this study, we focus on speech features that can identify the speaker’s emotional health, i.e., whether the speaker is depressed or not. 

We present Conditional Random Fields based approaches for detecting agreement/disagreement between speakers in English broadcast conversation shows.

In this work, we compare several known approaches for multilingual acoustic modeling for three languages, Dari, Farsi and Pashto, which are of recent geo-political interest.

We investigate a variety of methods for improving language recognition accuracy based on techniques in speech recognition, and in some cases borrowed from speaker recognition.

We summarize recent progress on SRI’s IraqComm™ IraqiArabic-English two-way speech-to-speech translation system.

We study the question of how intrinsic variations (associated with the speaker rather than the recording environment) affect text-independent speaker verification performance.

This paper describes a prototype system for near-real-time spontaneous, bidirectional translation between spoken English and Pashto.

We describe SRI’s large vocabulary conversational speech recognition system as used in the March 2000 NIST Hub-5E evaluation.