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声音感知在地面无人平台中的应用展望
  • 所属机构名称：哈尔滨工业大学
  • 会议名称：坦克装甲车辆理事会/车辆传动重点实验室2012 年年会学术论文集
  • 时间：2012.9.22
  • 成果类型：会议
  • 相关项目：行车环境听觉模型及声音处理关键技术
作者： 刘文举|胡鹏飞|杨宏斌|
同会议论文项目
行车环境听觉模型及声音处理关键技术
期刊论文 41 会议论文 55 著作 2
同项目会议论文
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A pairwise algorithm for pitch estimation and speech separation using deep stacking network
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IMPROVED TONE MODELING BY EXPLOITING ARTICULATORY FEATURES FOR MANDARIN SPEECH RECOGNITION
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Case based reasoning solution to the problem of sustained learning in keyword spotting
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Robust voice activity detection using the combination of short-term and long-term spectral patterns
DOA estimation of speech source in noisy environments with weighted spatial bispectrum correlation m
Direction of Arrival Estimation Based on Subband Weighting for Noisy Conditions
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行车环境下基于二值语谱图的声学事件检测
Weighted Spatial Bispectrum Correlation Matrix for DOA Estimation in the Presence of Interferences
Improving native accent identification using deep neural networks
Guarantees of Augmented Trace Norm Models in Tensor Recovery
Upper and Lower Bounds for Approximation of the Kullback-Leibler Divergence Between Hidden Markov Mo
Case Based Reasoning Solution to the Problem of Sustained Learning in Keyword Spotting
IMPROVED TONE MODELING BY EXPLOITING ARTICULATORY FEATURES FOR MANDARIN SPEECH RECOGNITION
IMPROVED TONE MODELING BY EXPLOITING ARTICULATORY FEATURES FOR MANDARIN SPEECH RECOGNITION
Direction of Arrival Estimation Based on Subband Weighting for Noisy Conditions
A Novel Confidence Measure Based on Context Consistency for Spoken Term Detection
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A novel confidence measure based on context consistency for spoken term detection
A Novel Codebook Representation Method and Encoding Strategy For Bag-of-Words Based Acoustic Event C
Attribute Knowledge Integration for Speech Recognition Based on Multi-Task Learning Neural Networks
Evaluation of dictionary for sparse coding in speech processing
Improving Deep Neural Networks Based Multi-Accent Mandarin Speech Recognition Using I-Vectors and Ac
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DOA ESTIMATION OF SPEECH SOURCE IN NOISY ENVIRONMENTS WITH WEIGHTED SPATIAL BISPECTRUM CORRELATION M
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Evaluation of Dictionary for Sparse Coding in Speech Processing
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Learning Semantic Kernels For Scene Classification
IMPROVING DEEP NEURAL NETWORKS BY USING SPARSE DROPOUT STRATEGY
ENHANCED POWER-NORMALIZED FEATURES FOR MANDARIN ROBUST SPEECH RECOGNITION BASED ON A VOICED-UNVOICED
Interference Robust DOA Estimation of Human Speech by Exploiting Historical Information and Temporal