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» Improving the Utility of Speech Recognition Through Error De...
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MLMI
2007
Springer
15 years 3 months ago
Modeling Vocal Interaction for Segmentation in Meeting Recognition
Automatic segmentation is an important technology for both automatic speech recognition and automatic speech understanding. In meetings, participants typically vocalize for only a ...
Kornel Laskowski, Tanja Schultz
TASLP
2010
157views more  TASLP 2010»
14 years 4 months ago
HMM-Based Reconstruction of Unreliable Spectrographic Data for Noise Robust Speech Recognition
This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...
Bengt J. Borgstrom, Abeer Alwan
ICASSP
2011
IEEE
14 years 1 months ago
Adapting acoustic and lexical models to dysarthric speech
Dysarthria is a motor speech disorder resulting from neurological damage to the part of the brain that controls the physical production of speech and is, in part, characterized by...
Kinfe Tadesse Mengistu, Frank Rudzicz
NAACL
2003
14 years 10 months ago
Comma Restoration Using Constituency Information
Automatic restoration of punctuation from unpunctuated text has application in improving the fluency and applicability of speech recognition systems. We explore the possibility t...
Stuart M. Shieber, Xiaopeng Tao
RIVF
2007
14 years 11 months ago
Thai Speech Keyword Spotting using Heterogeneous Acoustic Modeling
This paper illustrates the use of acoustic modeling of spoken dialog systems. One major problem with using speech three different structures, including syllables, fillers and recog...
S. Tangruamsub, Proadpran Punyabukkana, Atiwong Su...