Time: 215pm-330pm, Friday, April 29, 2011 Place: Room 4102, CUNY Graduate Center, 365 Fifth Ave (34str&35str). Speaker: Andrew Rosenberg (CUNY) Title: Speech is More than Noisy Text: Automatic Prosodic Analysis Techniques and Application Abstract: Spoken material can cause headaches for text-based natural language processing techniques. Automatic speech recognition errors befuddle bag-of-word and n-gram models. Disfluencies, and informal syntax can cause serious problems for parsers. Common solutions to these problems seek to make traditional techniques more robust to spoken material. But speech is more than a noisy sequence of words. Through intonation, or prosody, speech conveys important communicative information which is largely untapped in spoken language processing. This talk will describe previous and current approaches to the automatic analysis of intonation, and ultimately outline a path towards improved spoken language processing through prosodic analysis. Speaker Bio: Andrew Rosenberg is an Assistant Professor at Queens College (CUNY). His research concerns spoken language processing and machine learning. He received his Ph.D. from Columbia University in 2009.