文件名称:feature_extraction_in_speech_recognition1999
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最权威和最全面的关于语音识别中的特征提取的IEEE的期刊论文1-The most authoritative and most comprehensive on the Speech Recognition feature extraction of the IEEE Journal Papers 1
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下载文件列表
1999
....\A partitioned neural network approach for vowel classification using smoothed time frequency features.pdf
....\Auditory processing of speech signals for robust speech recognition in real-world noisy environments.pdf
....\Recent advancements in automatic speaker authentication.pdf
....\Sigmoidal spectral conversion with changeable dynamic region for speech feature extraction.pdf
....\Signal-processing techniques for cochlear implants.pdf
....\Subband-based blind signal separation for noisy speech recognition.pdf
....\Teager energy based feature parameters for speech recognition in car noise.pdf
....\A partitioned neural network approach for vowel classification using smoothed time frequency features.pdf
....\Auditory processing of speech signals for robust speech recognition in real-world noisy environments.pdf
....\Recent advancements in automatic speaker authentication.pdf
....\Sigmoidal spectral conversion with changeable dynamic region for speech feature extraction.pdf
....\Signal-processing techniques for cochlear implants.pdf
....\Subband-based blind signal separation for noisy speech recognition.pdf
....\Teager energy based feature parameters for speech recognition in car noise.pdf