At Carnegie Mellon University, my research focus was human-computer interaction through spoken dialog systems. I have also contributed to the field of human-based computation and incorporated crowdsourcing in my research.
Search engine aggregator created to facilitate finding sailboats for sale in your area. Find your dream boat at sailboatlocator.com
Hosting a party? Set up a decide.fm station and have your hosts decide what song to play next.
Humans adapt to each others at various levels during a conversation. LexE investigates how this phenomenon transposes to human-computer interaction, and how to use it to provide better dialog systems.
VoIP-enabled spoken dialog system based on Olympus architecture. It will be handling a subset of calls to the City of Pittsburgh 311 line.
Crowdsourcing for Speech Processing: Applications to Data Collection, Transcription and Assessment. Wiley, Hoboken, USA, May 2013. [Amazon]
Speaking to the Crowd: looking at the past achievements in using crowdsourcing for speech and predicting future challenges. Interspeech 2011. [PDF]
Spoken Dialog Challenge 2010: Comparison of Live and Control Test Results SIGDIAL 2011. [PDF]
CHI 2011. [PDF] Sources of Variability and Adaptive Tasks.
Toward Better Crowdsourced Transcription: Transcription of a Year of the Let's Go Bus Information System Data. SLT 2010. [PDF]
Spoken Dialog Challenge 2010. SLT 2010. [PDF]
Lexical Entrainment of Real Users in the Let's Go Spoken Dialog System. Interspeech 2010. [PDF]
Clustering dictionary definitions using Amazon Mechanical Turk. NAACL/HLT 2010 MTurk workshop. [PDF]
Multimodal learning of words: A study on the use of speech synthesis to reinforce written text in L2 language learning. SLaTE 2010. [PDF]
Annotation d'expressions temporelles et d'événements en français. TALN2008. [PDF]
- Amazon Web Services
- Machine Learning
- Data Mining
- Natural Language Processing