文件名称:feature_extraction_in_speech_recognition2005
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语音识别中的特征提取的IEEE的期刊论文2005年-Speech Recognition Feature Extraction of IEEE journals in 2005 Papers
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2005
....\Analysis and comparison of two speech feature extraction compensation algorithms.pdf
....\Bayes-based confidence measure in speech recognition.pdf
....\Bayesian fusion of confidence measures for speech recognition.pdf
....\Data Mining for Detecting Errors in Dictation Speech Recognition.pdf
....\Feature pruning for low-power ASR systems in clean and noisy environments.pdf
....\Maximizing information content in feature extraction.pdf
....\Mining Customer Care Dialogs for “Daily News”.pdf
....\Missing-feature approaches in speech recognition.pdf
....\Recognizing GSM digital speech.pdf
....\Robust AM-FM Features for Speech Recognition.pdf
....\Robust dynamic tone feature extraction using 2D oriented filters.pdf
....\Analysis and comparison of two speech feature extraction compensation algorithms.pdf
....\Bayes-based confidence measure in speech recognition.pdf
....\Bayesian fusion of confidence measures for speech recognition.pdf
....\Data Mining for Detecting Errors in Dictation Speech Recognition.pdf
....\Feature pruning for low-power ASR systems in clean and noisy environments.pdf
....\Maximizing information content in feature extraction.pdf
....\Mining Customer Care Dialogs for “Daily News”.pdf
....\Missing-feature approaches in speech recognition.pdf
....\Recognizing GSM digital speech.pdf
....\Robust AM-FM Features for Speech Recognition.pdf
....\Robust dynamic tone feature extraction using 2D oriented filters.pdf