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.
Lexical Stress Classification for Language Learning Using Spectral and Segmental Features
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.
Detecting Leadership and Cohesion in Spoken Interactions
We present a system for detecting leadership and group cohesion in multiparty dialogs and broadcast conversations in English and Mandarin.
Unsupervised topic modeling for leader detection in spoken discourse
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.
Detection of agreement and disagreement in broadcast conversations
We present Conditional Random Fields based approaches for detecting agreement/disagreement between speakers in English broadcast conversation shows.
Automatic identification of speaker role and agreement/disagreement in broadcast conversation
We present supervised approaches for detecting speaker roles and agreement/disagreement between speakers in broadcast conversation shows in three languages: English, Arabic, and Mandarin.
Implementing SRI’s Pashto speech-to-speech translation system on a smartphone
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.
Recent advances in SRI’s IraqComm Iraqi Arabic-English speech-to-speech translation system
We summarize recent progress on SRI’s IraqComm™ IraqiArabic-English two-way speech-to-speech translation system.