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Visits

Visits

1. MEC 2017: Multimodal Emotion Recognition Challenge [517]
2. Cerebral responses to puncturing at different acupoints for treati.. [212]
3. Diffusion magnetic resonance imaging study of schizophrenia in the.. [192]
4. 汉语层级重音分析与预测方法研究 [188]
5. Micro-Expression Recognition Based on Local Two-Order Gradient Pat.. [117]
6. Monitoring Tumor Targeting and Treatment Effects of IRDye 800CW an.. [116]
7. Hierarchical stress generation with Fujisaki model in expressive s.. [96]
8. Regional homogeneity changes in prelingually deafened patients: A .. [89]
9. Combining prosodic and spectral features for Mandarin intonation r.. [77]
10. Assign stress for interrogative sentences via syntax structure map.. [77]
11. Region Based Robust Facial Expression Analysis [75]
12. Hierarchical stress modeling in Mandarin text-to-speech [67]
13. Survey on discriminative feature selection for speech emotion reco.. [62]
14. Semi-supervised Ladder Networks for Speech Emotion Recognition [60]
15. Final lowering effect in questions and statements of Chinese manda.. [54]
16. 基于静音时长和文本特征融合的韵律边界自动标注 [47]
17. Speech emotion recognition using semi-supervised learning with lad.. [43]
18. Effect of dimensional emotion in discrete speech emotion classific.. [37]
19. Multimodal continuous emotion recognition with data augmentation u.. [34]
20. Deep learning for continuous multiple time series annotations [33]
21. Speech Emotion Recognition from Variable-Length Inputs with Triple.. [32]
22. Continuous multimodal emotion prediction based on long short term .. [29]
23. End-to-end continuous emotion recognition from video using 3D Conv.. [26]
24. 基于静音时长和文本特征融合的韵律边界自动标注 [26]
25. Multimodal Emotion Recognition with Transfer Learning of Deep Neur.. [22]
26. Expression Analysis Based on Face Regions in Real-world Conditions [12]
27. Semi-supervised Ladder Networks for Speech Emotion Recognition [7]
28. Distilling Knowledge from an Ensemble of Models for Punctuation Pr.. [6]
29. CHEAVD: a Chinese natural emotional audio-visual database [4]
30. CHEAVD: a Chinese natural emotional audio–visual database [4]
31. From Simulated Speech to Natural Speech, What are the Robust Featu.. [4]
32. 一种对普通话重音进行层次化建模和预测的方法 [3]
33. Investigating Deep Neural Network Adaptation for Generating Exclam.. [3]
34. A hierarchical Viterbi algorithm for mandarin hybrid speech synthe.. [3]
35. 基于特征融合的汉语疑问句语气识别 [2]
36. 基于深度学习的韵律结构预测 [2]
37. Multi Task Sequence Learning for Depression Scale Prediction from .. [2]
38. A NOVEL HYBRID MANDARIN SPEECH SYNTHESIS SYSTEM USING DIFFERENT BA.. [2]
39. A novel unit selection method for concatenation speech system usin.. [2]
40. ADVANCES IN CHINESE NATURAL LANGUAGE PROCESSING AND LANGUAGE RESOU.. [2]
41. Quantitative intonation modeling of interrogative sentences for Ma.. [1]
42. Investigating Effect of Rich Syntactic Features on Mandarin Prosod.. [1]
43. Utterance independent bimodal emotion recognition in spontaneous c.. [1]
44. Stress annotation in continuous speech and large-scale stress corp.. [1]
45. 基于注意力的端到端韵律结构和重音联合预测方法 [1]
46. Investigating Efficient Feature Representation Methods and Trainin.. [1]
47. The NLPR Speech Synthesis entry for Blizzard Challenge 2017 [1]
48. Acoustic Model Compression with Knowledge Transfer [1]
49. An Initial Research: Towards Accurate Pitch Extraction for Speech .. [1]
50. Improving Prosodic Boundaries Prediction for Mandarin Speech Synth.. [1]
51. The Parameterized Phoneme Identity Feature as a Continuous Real-Va.. [1]
52. Long Short Term Memory Recurrent Neural Network based Encoding Met.. [1]
53. End-to-end Keywords Spotting Based on Connectionist Temporal Class.. [1]
54. MEC 2016: The multimodal emotion recognition challenge of CCPR 201.. [1]
55. 面向多语言的情感语音感知研究 [1]
56. 汉语无标记疑问句的语调分析与建模 [1]
57. Long Short Term Memory Recurrent Neural Network based Multimodal D.. [1]
58. A Novel Method of Artificial Bandwidth Extension Using Deep Archit.. [1]
59. Investigating effect of rich syntactic features on Mandarin prosod.. [1]
60. Multi-scale Temporal Modeling for Dimensional Emotion Recognition .. [1]
61. Combining Emotional History Through Multimodal Fusion Methods [1]
62. The CASIA audio emotion recognition method for audio/visual emotio.. [1]

Downloads

1. MEC 2017: Multimodal Emotion Recognition Challenge [379]
2. Cerebral responses to puncturing at different acupoints for treati.. [95]
3. Micro-Expression Recognition Based on Local Two-Order Gradient Pat.. [35]
4. Monitoring Tumor Targeting and Treatment Effects of IRDye 800CW an.. [20]
5. Hierarchical stress generation with Fujisaki model in expressive s.. [19]
6. 基于静音时长和文本特征融合的韵律边界自动标注 [19]
7. Diffusion magnetic resonance imaging study of schizophrenia in the.. [18]
8. Combining prosodic and spectral features for Mandarin intonation r.. [14]
9. Assign stress for interrogative sentences via syntax structure map.. [12]
10. Hierarchical stress modeling in Mandarin text-to-speech [11]
11. Speech emotion recognition using semi-supervised learning with lad.. [10]
12. Semi-supervised Ladder Networks for Speech Emotion Recognition [8]
13. Speech Emotion Recognition from Variable-Length Inputs with Triple.. [6]
14. Multimodal continuous emotion recognition with data augmentation u.. [6]
15. 基于静音时长和文本特征融合的韵律边界自动标注 [6]
16. Deep learning for continuous multiple time series annotations [5]
17. Effect of dimensional emotion in discrete speech emotion classific.. [5]
18. Multimodal Emotion Recognition with Transfer Learning of Deep Neur.. [4]
19. End-to-end continuous emotion recognition from video using 3D Conv.. [4]
20. Expression Analysis Based on Face Regions in Real-world Conditions [4]
21. Semi-supervised Ladder Networks for Speech Emotion Recognition [3]
22. Continuous multimodal emotion prediction based on long short term .. [2]