Author: Kristin Precoda
-
Classification of Lexical Stress Using Spectral and Prosodic Features for Computer-assisted Language Learning Systems
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.
-
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.
-
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.
-
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.
-
IraqComm: A Next Generation Translation System
This paper describes the IraqComm translation system that mediates and translates spontaneous conversations between an English speaker and a speaker of colloquial Iraqi Arabic.
-
Speech Translation for Low-Resource Languages: The Case of Pashto
We present a number of challenges and solutions that have arisen in the development of a speech translation system for American English and Pashto, highlighting those specific to a very low resource language.
-
Limited-Domain Speech-to-Speech Translation between English and Pashto
This paper describes a prototype system for near-real-time spontaneous, bidirectional translation between spoken English and Pashto.