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IMPROVED QUANTIZATION STRUCTURES USING GENERALIZED HMM MODELLING WITH APPLICATION TO WIDEBAND SPEECH CODING ∗

机译：基于广义HMM建模的改进量化结构及其在宽带语音编码中的应用

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Ethan R. Duni; D. Subramaniam; Bhaskar D. Rao;
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年度 2014
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1. Low-complexity source coding using Gaussian mixture models, lattice vector quantization, and recursive coding with application to speech spectrum quantization [J] . Subramaniam A.D., Gardner W.R., Rao B.D. IEEE transactions on audio, speech and language processing . 2006,第2期

机译：使用高斯混合模型，晶格矢量量化和递归编码的低复杂度源编码，并将其应用于语音频谱量化
2. HMM-based stressed speech modeling with application to improved synthesis and recognition of isolated speech under stress [J] . Bou-Ghazale S.E., Hansen J.H.L. IEEE Transactions on Speech and Audio Proceeding . 1998,第3期

机译：基于HMM的压力语音建模及其在压力下孤立语音的合成和识别中的应用
3. Block Constrained Trellis Coded Vector Quantization of LSF Parameters for Wideband Speech Codecs [J] . Jungeun Park, Sangwon Kang ETRI journal . 2008,第5期

机译：宽带语音编解码器的LSF参数的块约束网格编码矢量量化
4. IMPROVED QUANTIZATION STRUCTURES USING GENERALIZED HMM MODELLING WITH APPLICATION TO WIDEBAND SPEECH CODING [C] . Ethan R. Duni, Anand D. Subramania, Bhaskar D. Rao IEEE International Conference on Acoustics, Speech, and Signal Processing . 2004

机译：使用应用于宽带语音编码的广义HMM建模改进了量化结构
5. High-rate optimized quantization structures and speaker-dependent wideband speech coding. [D] . Duni, Ethan Robert. 2007

机译：高速优化的量化结构和与说话者相关的宽带语音编码。
6. Protein Structure-Guided Hidden Markov Models (HMMs) as A Powerful Method in the Detection of Ancestral Endogenous Viral Elements [O] . Heleri Kirsip, Aare Abroi 2019

机译：蛋白质结构指导的隐马尔可夫模型（HMM）作为检测祖先内源性病毒元素的有效方法
7. Application of Improved Hybrid Model Based on HMM and BP Neural Nework in Speech Recognition [O] . 息晓静 2006

机译：基于HMM和BP神经网络的改进混合模型在语音识别中的应用。

IMPROVED QUANTIZATION STRUCTURES USING GENERALIZED HMM MODELLING WITH APPLICATION TO WIDEBAND SPEECH CODING ∗

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