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ICASSP
2011
IEEE
14 years 3 months ago
Improved speaker recognition when using i-vectors from multiple speech sources
The concept of speaker recognition using i-vectors was recently introduced offering state-of-the-art performance. An i-vector is a compact representation of a speaker’s utteranc...
Mitchell McLaren, David A. van Leeuwen
LREC
2010
245views Education» more  LREC 2010»
15 years 1 months ago
SentiWS - A Publicly Available German-language Resource for Sentiment Analysis
SentimentWortschatz, or SentiWS for short, is a publicly available German-language resource for sentiment analysis, opinion mining etc. It lists positive and negative sentiment be...
Robert Remus, Uwe Quasthoff, Gerhard Heyer
PROPOR
2010
Springer
142views Languages» more  PROPOR 2010»
15 years 5 months ago
Voice Quality of European Portuguese Emotional Speech
An acoustic analysis was conducted to investigate parameters related to Voice Quality in European Portuguese (EP) speech conveying several emotions. Our main objectives were: to o...
Ana Nunes, Rosa Lídia Coimbra, Antón...
CSL
2010
Springer
14 years 12 months ago
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maxi
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex A...
ICASSP
2010
IEEE
15 years 1 days ago
Discriminative template extraction for direct modeling
This paper addresses the problem of developing appropriate features for use in direct modeling approaches to speech recognition, such as those based on Maximum Entropy models or S...
Shankar Shivappa, Patrick Nguyen, Geoffrey Zweig