We present a system for detection of lexical stress in English words spoken by English learners. This system was designed to be part of the EduSpeak® computer-assisted language learning (CALL) software.
We present a system for detecting lexical stress in English words spoken by English learners. The system uses both spectral and segmental features to detect three levels of stress for each syllable in a word.
We present a system for detecting leadership and group cohesion in multiparty dialogs and broadcast conversations in English and Mandarin.
In this paper, we describe a method for leader detection in multiparty spoken discourse that relies on unsupervised topic modeling to segment the discourse automatically.
We present Conditional Random Fields based approaches for detecting agreement/disagreement between speakers in English broadcast conversation shows.
We present supervised approaches for detecting speaker roles and agreement/disagreement between speakers in broadcast conversation shows in three languages: English, Arabic, and Mandarin.
We describe our recent effort implementing SRI’s UMPC-based Pashto speech-to-speech (S2S) translation system on a smart phone running the Android operating system.
EduSpeak®: A Speech Recognition and Pronunciation Scoring Toolkit for Computer-Aided Language Learning Applications
SRI International’s EduSpeak® system is a SDK that enables developers of interactive language education software to use state-of-the-art speech recognition and pronunciation scoring technology.
We summarize recent progress on SRI’s IraqComm™ IraqiArabic-English two-way speech-to-speech translation system.