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1. Despite a large amount of research into automatic speech recognition the results have been unimpressive.
2. The research on Automatic Speech Recognition has seen great achievement in the passed twenty years.
3. Automatic speech recognition is used more and more widely in people's life, which is categorized into continuous speech recognition and keyword spotting.
4. Automatic Speech Recognition (ASR) under noisy environment is still a challenging problem.
5. Automatic Speech Recognition (ASR) based English pronunciation teaching system is the application of ASR in the field of English pronunciation teaching.
6. Recently, as an auxiliary method for Automatic Speech Recognition(ASR), computer lip-reading technology has received more and more concern.
7. SONAR both supports Automatic Speaker Recognition and Automatic Speech Recognition.
8. The performance of automatic speech recognition decreases drastically for nonnative speakers, especially those who are just beginning to learn foreign language or who have heavy accents.
9. In this paper, the real-time realization of Automatic Speech Recognition (ASR) technology on common platform is investigated.
10. The object is to study the students and Automatic Speech Recognition to interested researchers.
11. The longest established of these is automatic speech recognition (ASR), the technology that converts the spoken word to text.
12. This thesis presents work in the area of automatic Speech Recognition (ASR).
13. An English speaker talks into the phone. Automatic speech recognition distinguishes what is said and generates a text file that software translates to the target language.
14. The experiment result reveals this system has high recognition rate and fast recognition speed. So this system is an effective hardware realizing technique of automatic speech recognition device.
15. The application of Artificial Neural Networks ( ANN ) to Automatic Speech Recognition ( ASR ) is investigated in this thesis.
16. The automatic transcription, annotation and retrieval of broadcasting news requires automatic speech recognition, natural language processing and information retrieval technologies.
17. Experimental result shows that LOPDI algorithm can greatly increase automatic speech recognition system's robustness against additive noise.
18. In this paper, the real - time realization of Automatic Speech Recognition ( ASR ) technology on common is investigated.
18. Sentencedict.com is a sentence dictionary, on which you can find nice sentences for a large number of words.
19. Environmental robustness is a very important issue in the field of automatic speech recognition ( ASR ) research.
20. This thesis is focused on the research topic of noise-robust front-end of automatic speech recognition (ASR).
21. His credentials stem from being a pioneer in various fields of computing, such as optical character recognition – the technology behind CDs – and automatic speech recognition by machine.
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