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» Signal processing tools for speech recognition
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TSD
2004
Springer
14 years 26 days ago
Looking at the Last Two Turns, I'd Say This Dialogue Is Doomed - Measuring Dialogue Success
Two sets of linguistic features are developed: The first one to estimate if a single step in a dialogue between a human being and a machine is successful or not. The second set to...
Stefan Steidl, Christian Hacker, Christine Ruff, A...
ICASSP
2011
IEEE
12 years 11 months ago
Efficient out-of-vocabulary term detection by n-gram array indices with distance from a syllable lattice
For spoken document retrieval, it is very important to consider Out-of-Vocabulary (OOV) and mis-recognition of spoken words. Therefore, sub-word unit based recognition and retriev...
Keisuke Iwami, Yasuhisa Fujii, Kazumasa Yamamoto, ...
AND
2010
13 years 5 months ago
Reshaping automatic speech transcripts for robust high-level spoken document analysis
High-level spoken document analysis is required in many applications seeking access to the semantic content of audio data, such as information retrieval, machine translation or au...
Julien Fayolle, Fabienne Moreau, Christian Raymond...
TSD
2010
Springer
13 years 5 months ago
Recovery of Rare Words in Lecture Speech
The vocabulary used in speech usually consists of two types of words: a limited set of common words, shared across multiple documents, and a virtually unlimited set of rare words, ...
Stefan Kombrink, Mirko Hannemann, Lukas Burget, Hy...
ICASSP
2008
IEEE
14 years 2 months ago
Extracting clues from human interpreter speech for spoken language translation
In previous work, we reported dramatic improvements in automatic speech recognition (ASR) and spoken language translation (SLT) gained by applying information extracted from spoke...
Matthias Paulik, Alex Waibel