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51. Data augmentation enhanced speaker enrollment for text-dependent speaker verification

52. A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting

53. Exploring Filterbank Learning for Keyword Spotting

54. On Bottleneck Features for Text-Dependent Speaker Verification Using X-vectors

55. OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer

56. Vocoder-Based Speech Synthesis from Silent Videos

57. Relaxed N-Pairs Loss for Context-Aware Recommendations of Television Content

58. Adversarial Example Detection by Classification for Deep Speech Recognition

59. Deep Joint Embeddings of Context and Content for Recommendation

60. On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement

61. Keyword Spotting for Hearing Assistive Devices Robust to External Speakers

62. rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method

63. Deep-Learning-Based Audio-Visual Speech Enhancement in Presence of Lombard Effect

64. Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification

66. Subjective Annotations for Vision-Based Attention Level Estimation

67. Effects of Lombard Reflex on the Performance of Deep-Learning-Based Audio-Visual Speech Enhancement Systems

68. On Training Targets and Objective Functions for Deep-Learning-Based Audio-Visual Speech Enhancement

70. The Importance of Context When Recommending TV Content: Dataset and Algorithms

71. On the Relationship Between Short-Time Objective Intelligibility and Short-Time Spectral-Amplitude Mean-Square Error for Speech Enhancement

72. A Parallel/Distributed Algorithmic Framework for Mining All Quantitative Association Rules

73. Monaural Speech Enhancement using Deep Neural Networks by Maximizing a Short-Time Objective Intelligibility Measure

74. Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification

75. Joint Separation and Denoising of Noisy Multi-talker Speech using Recurrent Neural Networks and Permutation Invariant Training

76. Adversarial Network Bottleneck Features for Noise Robust Speaker Verification

77. Decorrelation of Neutral Vector Variables: Theory and Applications

78. Time-Contrastive Learning Based DNN Bottleneck Features for Text-Dependent Speaker Verification

79. Multi-talker Speech Separation with Utterance-level Permutation Invariant Training of Deep Recurrent Neural Networks

80. DNN Filter Bank Cepstral Coefficients for Spoofing Detection

81. Incorporating Pass-Phrase Dependent Background Models for Text-Dependent Speaker Verification

82. A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting

88. Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation

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