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DEEP STACKING NETWORKS WITH TIME SERIES FOR SPEECH SEPARATION
  • 所属机构名称：哈尔滨工业大学
  • 会议名称：ICASSP’2014
  • 时间：2014.5.4
  • 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
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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Low-rank audio signal classification under soft margin and trace norm constraints
A pairwise algorithm for pitch estimation and speech separation using deep stacking network
Cross-domain cooperative deep stacking network for speech separation
IMPROVED TONE MODELING BY EXPLOITING ARTICULATORY FEATURES FOR MANDARIN SPEECH RECOGNITION
Latent topic model based on Gaussian-LDA for audio retrieval
Monaural voiced speech separation with multipitch tracking
IMPROVED TONE MODELING BY EXPLOITING ARTICULATORY FEATURES FOR MANDARIN SPEECH RECOGNITION
UTOMATIC PROSODIC EVENTS DETECTION USING A TWO-STAGE SVM/CRF SEQUENCE CLASSIFIER WITH ACOUSTIC FEATU
声音感知在地面无人平台中的应用展望
Improving Deep Neural Networks Using Softplus Units
Case based reasoning solution to the problem of sustained learning in keyword spotting
Deep neural networks for Mandarin tone recognition
Deep stacking networks with time series for speech separation
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
Multiscale collaborative speech denoising based on deep stacking network
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
An improved steady segment based decoding algorithm by using response probability for LVCSR
Speech fragment decoding techniques using silent pause detection
Sparse power spectrum based robust voice activity detector
Beam Pruning Based on Quantile for Keyword Spotting
A solution to residual noise in speech denoising with sparse representation
Automatic prosodic events detection using a two-stage SVM/CRF sequence classifier with acoustic feat
Multilingual Deep Neural Network for Music Genre Classification
Two-Stage Multi-Target Joint Learning for Monaural Speech Separation
Exploring Robustness of DNN/RNN for Extracting Speaker Baum-Welch Statistics in Mismatched Condition
Combing frame and segment based models for environmental sound classification
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
Integration of articulatory knowledge and voicing features based on DNN/HMM for Mandarin speech reco
Hybrid SVM/HMM Architectures for Statistical Model-based Voice Activity Detection
DOA ESTIMATION OF SPEECH SOURCE IN NOISY ENVIRONMENTS WITH WEIGHTED SPATIAL BISPECTRUM CORRELATION M
Evaluation of Dictionary for Sparse Coding in Speech Processing
Robust Minimum Statistics Project Coefficients Feature For Acoustic Environment Recognition
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