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» Introducing Speech and Language Processing
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SPEECH
2011
14 years 4 months ago
SNR loss: A new objective measure for predicting the intelligibility of noise-suppressed speech
Most of the existing intelligibility measures do not account for the distortions present in processed speech, such as those introduced by speech-enhancement algorithms. In the pre...
Jianfen Ma, Philipos C. Loizou
UML
2004
Springer
15 years 3 months ago
System-on-Chip Verification Process Using UML
Abstract. In this paper, we propose a verification methodology for System-OnChip (SoC) design using Unified Modeling Language (UML). We introduce UML as a formal model to analyze a...
Qiang Zhu, Tsuneo Nakata, Masataka Mine, Kenichiro...
GW
2005
Springer
119views Biometrics» more  GW 2005»
15 years 3 months ago
A Comparison Between Etymon- and Word-Based Chinese Sign Language Recognition Systems
Hitherto, one major challenge to sign language recognition is how to develop approaches that scale well with increasing vocabulary size. In large vocabulary speech recognition real...
Chunli Wang, Xilin Chen, Wen Gao
SETN
2004
Springer
15 years 3 months ago
Text Normalization for the Pronunciation of Non-standard Words in an Inflected Language
In this paper we present a novel approach, called “Text to Pronunciation (TtP)”, for the proper normalization of Non-Standard Words (NSWs) in unrestricted texts. The methodolog...
Gerasimos Xydas, Georgios Karberis, Georgios Kouro...
NAACL
2003
14 years 11 months ago
Factored Language Models and Generalized Parallel Backoff
We introduce factored language models (FLMs) and generalized parallel backoff (GPB). An FLM represents words as bundles of features (e.g., morphological classes, stems, data-drive...
Jeff Bilmes, Katrin Kirchhoff