Best Student Paper Nominations

 

Google Best Student Papers

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Google is pleased to offer two Google Best Student Paper awards. The winning students will be selected by the Technical Program Committee and two senior members of the field, based on the written paper as well as the conference presentation. Winners will be recognized at the Conference with a prize of $500 each. One of the two awards will be awarded to a promising female student. The winners will be announced during the closing plenary session of the Conference on Thursday.

 

ISCA Best Student Paper

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In keeping with tradition, ISCA is pleased to offer three Best Student Paper awards. Each of the winning students will be selected by the Technical Program Committee and approved by ISCA, and recognized at the Conference with a monetary prize. The winners will be announced during the closing plenary session of the Conference on Thursday.

 

• Hidden Markov Convolutive Mixture Model for Pitch Contour Analysis of SpeechKota Yoshizato, Hirokazu Kameoka, Daisuke Saito and Shigeki Sagayama

 

• Interactive Spoken Content Retrieval with Different Types of Actions Optimized By a Markov Decision ProcessTsung Hsien Wen, Hung Yi Lee and Lin Shan Lee

 

• Integrating Intra-Speaker Topic Modeling and Temporal-Based Inter-Speaker Topic Modeling in Random Walk for Improved Multi-Party Meeting SummarizationYun-Nung Chen and Florian Metze

 

• Effects of visual speech information on native listener judgments of L2 consonant intelligibilitySaya Kawase and Yue Wang

 

• Phonetic Foreignization of Mandarin for Dubbing in Imported Western MoviesLuying Hou, Yuan Jia and Aijun Li

 

• Age Estimation from Telephone Speech using i-vectorsMohamad Hasan Bahari, Mitchell McLaren, Hugo Van hamme and David Van Leeuwen

 

• Mel cepstral coefficient modification based on the Glimpse Proportion measure for improving the intelligibility of HMM-generated synthetic speech in noiseCassia Valentini-Botinhao, Junichi Yamagishi and Simon King

 

• Modulation domain blind source separation for noisy speech mixtureYi Zhang and Yunxin Zhao

 

• Discriminatively learning factorized finite state pronunciation models from dynamic Bayesian networksPreethi Jyothi, Eric Fosler-Lussier and Karen Livescu

 

• MAP Estimation of Whole-Word Acoustic Models with Dictionary PriorsKeith Kintzley, Aren Jansen and Hynek Hermansky