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» Corrected tandem features for acoustic model training
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ACL
2009
13 years 5 months ago
A Ranking Approach to Stress Prediction for Letter-to-Phoneme Conversion
Correct stress placement is important in text-to-speech systems, in terms of both the overall accuracy and the naturalness of pronunciation. In this paper, we formulate stress ass...
Qing Dou, Shane Bergsma, Sittichai Jiampojamarn, G...
NAACL
1994
13 years 9 months ago
Microphone-Independent Robust Signal Processing Using Probabilistic Optimum Filtering
A new mapping algorithm for speech recognition relates the features of simultaneous recordings of clean and noisy speech. The model is a piecewise nonfinear transformation appfied...
Leonardo Neumeyer, Mitch Weintraub
ICASSP
2011
IEEE
12 years 11 months ago
A subject-independent acoustic-to-articulatory inversion
Acoustic-to-articulatory inversion is usually done in a subjectdependent manner, i.e., the inversion procedure may not work well if the parallel acoustic and articulatory training...
Prasanta Kumar Ghosh, Shrikanth S. Narayanan
ICASSP
2011
IEEE
12 years 11 months ago
Using clustering comparison measures for speaker recognition
Recent results seem to cast some doubt over the assumption that improvements in fused recognition accuracy for speaker recognition systems based on different acoustic features are...
Jia Min Karen Kua, Julien Epps, Mohaddeseh Nosrati...
RECOMB
2007
Springer
14 years 8 months ago
Support Vector Training of Protein Alignment Models
Abstract. Sequence to structure alignment is an important step in homology modeling of protein structures. Incorporation of features like secondary structure, solvent accessibility...
Chun-Nam John Yu, Thorsten Joachims, Ron Elber, Ja...