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MLMI
2007
Springer
13 years 11 months ago
A Study of Phoneme and Grapheme Based Context-Dependent ASR Systems
In this paper we present a study of automatic speech recognition systems using context-dependent phonemes and graphemes as sub-word units based on the conventional HMM/GMM system a...
John Dines, Mathew Magimai-Doss
SPEECH
2002
91views more  SPEECH 2002»
13 years 4 months ago
Large vocabulary continuous speech recognition of Broadcast News - The Philips/RWTH approach
Automatic speech recognition of real-live broadcast news (BN) data (Hub-4) has become a challenging research topic in recent years. This paper summarizes our key efforts to build ...
Peter Beyerlein, Xavier L. Aubert, Reinhold Haeb-U...
NAACL
1994
13 years 6 months ago
Language Identification via Large Vocabulary Speaker Independent Continuous Speech Recognition
The goal of this study is to evaluate the potential for using large vocabulary continuous speech recognition as an engine for automatically classifying utterances according to the...
Steve Lowe, Anne Demedts, Larry Gillick, Mark Mand...
NAACL
1994
13 years 6 months ago
Tree-Based State Tying for High Accuracy Modelling
The key problem to be faced when building a HMM-based continuous speech recogniser is maintaining the balance between model complexity and available training data. For large vocab...
S. J. Young, J. J. Odell, Philip C. Woodland
GI
1997
Springer
13 years 9 months ago
Architecture and Search Organization for Large Vocabulary Continuous Speech Recognition
This paper gives an overview of an architecture and search organization for large vocabulary, continuous speech recognition (LVCSR at RWTH). In the rst part of the paper, we descri...
Stefan Ortmanns, Lutz Welling, Klaus Beulen, Frank...