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» Automatic Understanding of Signals
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127
Voted
ICASSP
2009
IEEE
15 years 10 months ago
The use of acoustically detected filled and silent pauses in spontaneous speech recognition
In recognizing spontaneous speech, the performance of typical speech recognizers tends to be degraded by filled and silent pauses, which are hesitation phenomena frequently occur...
Jun Ogata, Masataka Goto, Katunobu Itou
142
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Emotion recognition from speech: Putting ASR in the loop
This paper investigates the automatic recognition of emotion from spoken words by vector space modeling vs. string kernels which have not been investigated in this respect, yet. A...
Björn Schuller, Anton Batliner, Stefan Steidl...
144
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Audio segmentation for speech recognition using segment features
Audio segmentation is an essential preprocessing step in several audio processing applications with a significant impact e.g. on speech recognition performance. We introduce a no...
David Rybach, Christian Gollan, Ralf Schlüter...
ICASSP
2009
IEEE
15 years 10 months ago
Language model transformation applied to lightly supervised training of acoustic model for congress meetings
For effective training of acoustic and language models for spontaneous speech such as meetings, it is significant to exploit the texts available in a large scale, which may not b...
Tatsuya Kawahara, Masato Mimura, Yuka Akita
126
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Rate efficient remote video file synchronization
Video file synchronization between remote users is an important task in many applications. Re-transmission of a video that has been only slightly modified is expensive, wasteful...
Hao Zhang, Chuohao Yeo, Kannan Ramchandran