机译:基于混合HMM的多噪声环境下语音识别和Aspect模型权重优化
Graduate School of Engineering, Tohoku University, Sendai-shi, 980-8579 Japan;
rnGraduate School of Educational Informatics, Tohoku University, Sendai-shi, 980-8579 Japan;
rnGraduate School of Engineering, Tohoku University, Sendai-shi, 980-8579 Japan;
rnInstitute of Technology and Science, The University of Tokushima, Tokushima-shi, 770-8501 Japan;
Graduate School of Engineering, Tohoku University, Sendai-shi, 980-8579 Japan;
rnGraduate School of Engineering, Tohoku University, Sendai-shi, 980-8579 Japan;
multi-mixture HMM; noise-independent acoustic model; aspect model; speech recognition in noisy environment;
机译:基于混合HMM和Aspect模型权重优化的多噪声环境下语音识别
机译:基于先验噪声GMM和Multi-SNR模型的HMM组合的快速环境自适应方法
机译:基于加权方差扩展的改进型词HMM噪声鲁棒性
机译:使用基于Mce的Hmm和模型相关流权重进行视听语音识别
机译:具有高效MFCC提取算法和多混合模型的语音识别IC。
机译:基于隐马尔可夫模型的改进粒子群算法增强语音识别
机译:基于多元回归HMM的情感语音识别快速模型适应技术