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» Emotion recognition using imperfect speech recognition
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ICASSP
2009
IEEE
15 years 4 months ago
Statistical analysis of amplitude modulation in speech signals using an AM-FM model
Several studies have been dedicated to the analysis and modeling of AM–FM modulations in speech and different algorithms have been proposed for the exploitation of modulations i...
Pirros Tsiakoulis, Alexandros Potamianos
ICPR
2008
IEEE
15 years 11 months ago
Application of triphone clustering in acoustic modeling for continuous speech recognition in Bengali
The performance of the acoustic models is highly reflective on the overall performance of any continuous speech recognition system. Hence generation of an accurate and robust acou...
Anupam Basu, Gaurav Garg, Pabitra Mitra, Pratyush ...
ISCAS
2008
IEEE
139views Hardware» more  ISCAS 2008»
15 years 4 months ago
Missing feature speech recognition in a meeting situation with maximum SNR beamforming
Abstract— Especially for tasks like automatic meeting transcription, it would be useful to automatically recognize speech also while multiple speakers are talking simultaneously....
Dorothea Kolossa, Shoko Araki, Marc Delcroix, Tomo...
ICASSP
2011
IEEE
14 years 1 months ago
Non-negative matrix deconvolution in noise robust speech recognition
High noise robustness has been achieved in speech recognition by using sparse exemplar-based methods with spectrogram windows spanning up to 300 ms. A downside is that a large exe...
Antti Hurmalainen, Jort F. Gemmeke, Tuomas Virtane...
TASLP
2002
86views more  TASLP 2002»
14 years 9 months ago
High-level approaches to confidence estimation in speech recognition
Abstract--We describe some high-level approaches to estimating confidence scores for the words output by a speech recognizer. By "high-level" we mean that the proposed me...
Stephen Cox, Srinandan Dasmahapatra