A discrete hidden Markov model based on the multiple vector quantization codebooks is used here for speaker-dependent discrete speech recognition in Noisy Environments.
本文介绍多码本离散隐马尔可夫模型用于含噪声语音识别的研究成果。
In the paper, a speech endpoint detection method based on DCT (Discrete Cosine Transform) enhancement and improved spectral entropy is proposed.
提出了基于DCT(离散余弦变换)增强和改进谱熵的语音端点检测方法。
An improved method is presented on the base of the study for the discrete-amplitude multi-resolution speech coding.
在对离散幅度多分辨率语音编码方案研究的基础上提出了改进算法。
An improved method is presented on the base of the study for the discrete-amplitude multi-resolution speech coding.
在对离散幅度多分辨率语音编码方案研究的基础上提出了改进算法。
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