1. The new speech recognition system is not absolutely foolproof, but it is a huge breakthrough.

2. The ability of speech recognition systems to discriminate words from acoustic information alone is not encouraging.

3. Currently available speech recognition systems impose a selection of constraints on the input to simplify the speech recognition task.

4. An isolated - word speech recognition system based on HMM has been established.

5. This paper presents an audiovisual continuous speech recognition system for noise environments.

6. A speech recognition system is designed to illustrate the twin rotor helicopter speech control function.

7. In order to make the speech recognition system maintain the good performance under these noise conditions,(Sentencedict) we must use various methods to enhance the robustness of system.

8. A. Net speech recognition system complete source code can be directly used by the test.

9. Large vocabulary continuous speech recognition system consists of several components, and recognition errors are caused by different factors.

10. In order the discrimination and robustness of speech recognition system, this thesis does some deeper research.

11. In this way the interactive speech recognition system may react to noise conditions that are inappropriate for generating reliable speech recognition.

12. A fast speech recognition system for small vocabulary is presented.

13. Our first aim was to examine the lexical access components of a number of existing speech recognition systems.

14. Indeed, in the later chapters we will show that this is impractical for any relatively unconstrained speech recognition system.

15. A speaker dependent, isolated word and small vocabulary embedded speech recognition system is designed and implemented.

16. A novel method to account for dynamic speaker characteristic properties in a speech recognition system is presented.

17. The visual features can improve the performance of the speech recognition system under noisy environment.

18. To the sensor , Compound Cepreum Coefficients ( CD - CC ) is proposed Linear Predication Cepreum Coefficients ( LPCC ) in the speech recognition system.

19. A noise-free PZT sensor is made as speech signal input equipment to an auto speech recognition system.

20. The formant and corresponding bandwidth parameters result in a correct recognition rate of 98% in a small vocabulary mandarin speech recognition system.