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» The limits of speech recognition
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DAGM
2008
Springer
13 years 10 months ago
Switching Linear Dynamic Models for Noise Robust In-Car Speech Recognition
Performance of speech recognition systems strongly degrades in the presence of background noise, like the driving noise in the interior of a car. We compare two different Kalman fi...
Björn Schuller, Martin Wöllmer, Tobias M...
ICASSP
2009
IEEE
14 years 3 months ago
Experimenting with a global decision tree for state clustering in automatic speech recognition systems
In modern automatic speech recognition systems, it is standard practice to cluster several logical hidden Markov model states into one physical, clustered state. Typically, the cl...
Jasha Droppo, Alex Acero
ICASSP
2011
IEEE
13 years 16 days ago
Non-negative matrix deconvolution in noise robust speech recognition
High noise robustness has been achieved in speech recognition by using sparse exemplar-based methods with spectrogram windows spanning up to 300 ms. A downside is that a large exe...
Antti Hurmalainen, Jort F. Gemmeke, Tuomas Virtane...
IPPS
2008
IEEE
14 years 3 months ago
Design and optimization of a distributed, embedded speech recognition system
In this paper, we present the design and implementation of a distributed sensor network application for embedded, isolated-word, real-time speech recognition. In our system design...
Chung-Ching Shen, William Plishker, Shuvra S. Bhat...
LREC
2010
221views Education» more  LREC 2010»
13 years 10 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...