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

32) But if this model is applied in speech recognition directly, it would produce the problems of rule disaster and network ratiocination invalidation.

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

34) The automatic transcription, annotation and retrieval of broadcasting news requires automatic speech recognition, natural language processing and information retrieval technologies.

35) Automatic speech recognition is used more and more widely in people's life, which is categorized into continuous speech recognition and keyword spotting.

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

37) A vocabulary and grammar are combined within a speech-enabled application to define speech recognition within a reasonable range of efficiency for both the caller and the speech recognition processor.

38) For the application of large vocabulary word lists to embedded speech recognition, an efficient two-layer graph search algorithm is proposed.

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

40) Furthermore it is very important that we use language model , syntax and accidence model in middle or big glossary continuous speech recognition.

41) The accuracy of speech recognition directly depends on accurate endpoint detection.

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

43) Experimental results show that Uyghur speech recognition based on subword can gain better recognition results.

44) It uses IBM ViaVoice (see Resources) through the JavaSpeech API to access its formant (constructed from phonemes) text-to-speech (TTS) and speech recognition.

45) Before training distribution-shared allophone models for continuous speech recognition, it is context-independent phone models that have to be trained.

46) Automatic Speech Recognition (ASR) under noisy environment is still a challenging problem.

47) After an overview of phrase recognition, this paper proposes a Chinese phrase recognition method based on continuous speech recognition algorithm and phrase-tree constraint.

48) Automatic Speech Recognition (ASR) based English pronunciation teaching system is the application of ASR in the field of English pronunciation teaching.

49) A novel model-based speaker adaptation algorithm, support speaker weighting(SSW), was proposed for rapid speaker adaptation in speech recognition systems.

50) A cr oss-word search algorithm was developed based on a two-layer lexical tree using context-dependent acoustic models for efficient continuous speech recognition .

51) Speech recognition ability of cochlear implant patients are influenced by speech encoding strategy.

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

53) Traditional research in speech - based technology is concentrated on speech recognition, speech synthesis and natural language understanding.

54) For speech recognition, voice data need to be cut to extract necessary voice segment from each sub-paragraph speech.

55) Recognition Crescendo Speech Processing is a comprehensive speech recognition solution designed for professional, dictation - intensive environments.

56) These high tech high jinx will keep your family bewildered as you laugh when their desktop goes haywire or their speech recognition software only responds to Klingon.

57) Recently, as an auxiliary method for Automatic Speech Recognition(ASR),(http://sentencedict.com/speech recognition.html) computer lip-reading technology has received more and more concern.

58) SONAR both supports Automatic Speaker Recognition and Automatic Speech Recognition.

59) Experimental result shows that LOPDI algorithm can greatly increase automatic speech recognition system's robustness against additive noise.

60) The speech understanding performance is usually constrained by speech recognition errors and out - of - grammar problems.