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» A Hierarchical Evaluation Methodology in Speech Recognition
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COLING
2008
13 years 6 months ago
A Syntactic Time-Series Model for Parsing Fluent and Disfluent Speech
This paper describes an incremental approach to parsing transcribed spontaneous speech containing disfluencies with a Hierarchical Hidden Markov Model (HHMM). This model makes use...
Tim Miller, William Schuler
LREC
2010
221views Education» more  LREC 2010»
13 years 6 months ago
KALAKA: A TV Broadcast Speech Database for the Evaluation of Language Recognition Systems
A speech database, named KALAKA, was created to support the Albayzin 2008 Evaluation of Language Recognition Systems, organized by the Spanish Network on Speech Technologies from ...
Luis Javier Rodríguez-Fuentes, Mikel Pe&nti...
INTERSPEECH
2010
12 years 11 months ago
The RWTH 2009 quaero ASR evaluation system for English and German
In this work, the RWTH automatic speech recognition systems for English and German for the second Quaero evaluation campaign 2009 are presented. The systems are designed to transc...
Markus Nußbaum-Thom, Simon Wiesler, Martin S...
MM
2004
ACM
174views Multimedia» more  MM 2004»
13 years 10 months ago
Speech, ink, and slides: the interaction of content channels
In this paper, we report on an empirical exploration of digital ink and speech usage in lecture presentation. We studied the video archives of five Master’s level Computer Scien...
Richard J. Anderson, Crystal Hoyer, Craig Prince, ...
EUSAI
2003
Springer
13 years 10 months ago
Experimental Evaluation of Variations in Primary Features Used for Accelerometric Context Recognition
The paper describes initial results in an ongoing project aimed at providing and analyzing standardized, representative data sets for typical context recognition tasks. Such data ...
Ernst A. Heinz, Kai S. Kunze, Stefan Sulistyo, Hol...