1.   A commonly used argument in favour of speech recognition is that it is the most natural communication medium.

2.   Areas such as vision, continuous speech recognition and synthesis, and machine learning have been hard.

3.   Continuous speech recognition and synthesis are additional examples of tasks neural networks are undertaking with reasonable success.

4.   Despite a large amount of research into automatic speech recognition the results have been unimpressive.

5.   For speech recognition the principal operational difficulty to be faced is the interference to the acoustic signal from background noise.

6.   Jelinek took individual words as the states in his Markov model for speech recognition.

7.   One example is the method of recognition using template matching which is applied in both speech recognition and optical character recognition.

8.   Possible applications are continuous speech recognition and commands to robot arms.

9.   There are certain operational difficulties associated with speech recognition.

10.   What you hear will incorporate high-fidelity sound, speech synthesis, and speech recognition.