the research on audio signal modeling with sinusoids plus noise

1、

novel articulatory feature based dynamic bayesian network model for speech recognition

结合发音特征的动态贝叶斯网络语音识别模型

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2、

inmarsat-m imbe vocoder is an improved algorithm based on mbe model, which is unique in pitch estimation, u/ v judgment as well as the coding of the spectral envelope parameters.

INMARSAT-M IMBE声码器是在语音MBE模型基础上的一种改进算法，该算法在基音估计、谐波带的清／浊音判决以及谱包络参数的编码方面均具有独到之处。

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3、

a new speech recognition method by the integration of the vq, hmm is proposed.

提出了一种新的语音识别模型VQ-HMM。

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4、

the segmental fuzzy clustering algorithm for estimating parameters of the vq-hmm

基于分段模糊聚类算法的VQ-HMM语音识别模型参数估计

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5、

a semi-fragile speech watermarking algorithm based on speech model is researched, which is realized by quantization of line spectrum pair ( lsp) parameters.

在语音产生模型的基础上研究了一种基于该模型的半脆弱性数字水印算法，通过对语音信号的线谱对（LSP）参数嵌入水印信息来实现。

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6、

a study on hidden markov models used in speech recognition and a modified training algorithm

HMM语音识别模型与一种修正训练算法

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7、

duration distribution based hmm speech recognition models

基于段长分布的HMM语音识别模型

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8、

the segmental fuzzy c-means algorithm for estimating parameters of continuous density hidden markov models

基于分段模糊c－均值的连续密度HMM语音识别模型参数估计

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9、

fisher method for analysis of sound acoustics and its application

Fisher算法在语音声学模型分析中的研究与应用

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10、

modeling for chinese continuous telephone speech using hmm's embedded-training method

利用HMM嵌入训练方法建立汉语电话连续语音声学模型

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11、

based on this model, when the pitch is modified, the pitch harmonic can be maintained without compression or expanded effects. with the pseudo harmonic speech model, the pitch-scale and time-scale modification of speech can be achieved with high quality.

基于该语音模型在进行基频变换时可以保证各基频谐波结构不发生压缩-扩展现象，从而高质量的实现基音周期变换，基于该模型也可以很方便的实现时长和能量的变换。

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12、

this method takes all the negative factors into account, but system parameters are optimized for individual model, while not the whole model system.

这是一种将影响系统稳健性的诸多因素通盘考虑的自适应方法，但其不足是在参数优化估计方面只照顾单个语音模型而非整个模型系统。

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13、

research on low-bit-rate wideband speech coding algorithms based on the sinusoidal speech model

基于正弦语音模型的低比特率宽带语音编码算法的研究

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14、

an algorithm of optimal phase estimation in harmonic sinusoidal speech model

一种谐波正弦语音模型的最佳相位估计算法

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15、

the new residual noise model and pseudo clean speech models are introduced. incorporating with the noise-reducing schemes, the new pmc is efficient in improving the recognition accuracy in adverse environments.

该文提出了PMC技术的改进方法：引入新的残差噪声模型以及伪干净语音模型，结合信号增强技术，能有效地提高系统的鲁棒性。

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16、

an 800/ 920/ 1200bps modified speech coder based on the multi-band excitation ( mbe) speech model is presented.

该文介绍了基于多带激励（MBE）语音模型的改进型800/920/1200bps语音编码器。

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17、

the simulation results show that the proposed algorithm yields less residual noise and better speech quality than the gaussian based speech enhancement algorithms proposed in recent years.

仿真结果表明，本文算法不仅在噪声抑制性能方面优于近两年国际上提出的几种基于Gaussian语音模型的语音增强算法，而且在增强语音质量方面也具有更好的性能。

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18、

fast pitch-refining algorithm in mbe model

MBE语音模型中快速基音细搜索算法的研究

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19、

speech enhancement with laplacian speech modeling

一种基于Laplacian语音模型的语音增强算法

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20、

an improvement in mbe speech model analysis algorithm using b-spline wavelet transform

基于B-样条子波变换的MBE语音模型分析算法改进

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