Measurement of finite-precision effects in handwriting- and speech-recognition algorithms

1997 ◽  
pp. 1223-1228 ◽  
Author(s):  
Eduard Säckinger
Keyword(s):  
Speech Recognition ◽  
Finite Precision ◽  
Recognition Algorithms

Large-vocabulary speech recognition algorithms

Computer ◽  
2002 ◽  
Vol 35 (3) ◽  
pp. 42-50 ◽  
Author(s):  
M. Padmanabhan ◽  
M. Picheny
Keyword(s):  
Speech Recognition ◽  
Large Vocabulary ◽  
Recognition Algorithms ◽  
Large Vocabulary Speech Recognition

Speech recognition algorithms for voice control interfaces

1995 ◽  
Vol 49 (4) ◽  
pp. 381-397 ◽  
Author(s):  
R. Haeb-Umbach ◽  
P. Beyerlein ◽  
D. Geller
Keyword(s):  
Speech Recognition ◽  
Recognition Algorithms ◽  
Voice Control

scholarly journals Listening to speech in the presence of other sounds

2007 ◽  
Vol 363 (1493) ◽  
pp. 1011-1021 ◽  
Author(s):  
C.J Darwin
Keyword(s):  
Speech Recognition ◽  
Speech Perception ◽  
Computer Science ◽  
Hard Of Hearing ◽  
Partial Information ◽  
Effective Solution ◽  
Sound Sources ◽  
Practical Applications ◽  
Recognition Algorithms

Although most research on the perception of speech has been conducted with speech presented without any competing sounds, we almost always listen to speech against a background of other sounds which we are adept at ignoring. Nevertheless, such additional irrelevant sounds can cause severe problems for speech recognition algorithms and for the hard of hearing as well as posing a challenge to theories of speech perception. A variety of different problems are created by the presence of additional sound sources: detection of features that are partially masked, allocation of detected features to the appropriate sound sources and recognition of sounds on the basis of partial information. The separation of sounds is arousing substantial attention in psychoacoustics and in computer science. An effective solution to the problem of separating sounds would have important practical applications.

Sign in / Sign up

Export Citation Format

Share Document