Papers
Enhanced Harmonic Content and Vocal Note Based Predominant Melody Extraction from Vocal Polyphonic Music Signals
Gurunath Reddy M., K. Sreenivasa Rao
Improved Music Genre Classification with Convolutional Neural Networks
Weibin Zhang, Wenkang Lei, Xiangmin Xu et al.
Variation in Spoken North Sami Language
Kristiina Jokinen, Trung Ngo Trong, Ville Hautamäki
THU-EE System Description for NIST LRE 2015
Liang He, Yao Tian, Yi Liu et al.
The Role of Spectral Resolution in Foreign-Accented Speech Perception
Michelle R. Kapolowicz, Vahid Montazeri, Peter F. Assmann
Sequence Summarizing Neural Networks for Spoken Language Recognition
Jan Pešán, Lukáš Burget, Jan Černocký
Gating Recurrent Enhanced Memory Neural Networks on Language Identification
Wang Geng, Yuanyuan Zhao, Wenfu Wang et al.
Language Identification Based on Generative Modeling of Posteriorgram Sequences Extracted from Frame-by-Frame DNNs and LSTM-RNNs
Ryo Masumura, Taichi Asami, Hirokazu Masataki et al.
Out of Set Language Modelling in Hierarchical Language Identification
Saad Irtza, Vidhyasaharan Sethu, Sarith Fernando et al.
Exploiting Hidden-Layer Responses of Deep Neural Networks for Language Recognition
Ruizhi Li, Sri Harish Mallidi, Lukáš Burget et al.
Joint Syntactic and Semantic Analysis with a Multitask Deep Learning Framework for Spoken Language Understanding
Jeremie Tafforeau, Frederic Bechet, Thierry Artiere et al.
A New Pre-Training Method for Training Deep Learning Models with Application to Spoken Language Understanding
Asli Celikyilmaz, Ruhi Sarikaya, Dilek Hakkani-Tür et al.
End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Language Understanding
Yun-Nung Chen, Dilek Hakkani-Tür, Gokhan Tur et al.
A Step Beyond Local Observations with a Dialog Aware Bidirectional GRU Network for Spoken Language Understanding
Vedran Vukotić, Christian Raymond, Guillaume Gravier
Context-Sensitive and Role-Dependent Spoken Language Understanding Using Bidirectional and Attention LSTMs
Chiori Hori, Takaaki Hori, Shinji Watanabe et al.
A Divide-and-Conquer Approach for Language Identification Based on Recurrent Neural Networks
G. Gelly, Jean-Luc Gauvain, V.B. Le et al.
Stacked Long-Term TDNN for Spoken Language Recognition
Daniel Garcia-Romero, Alan McCree
Non-Iterative Parameter Estimation for Total Variability Model Using Randomized Singular Value Decomposition
Ruchir Travadi, Shrikanth S. Narayanan
Pair-Wise Distance Metric Learning of Neural Network Model for Spoken Language Identification
Xugang Lu, Peng Shen, Yu Tsao et al.
The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS
Kong Aik Lee, Haizhou Li, Li Deng et al.
Results of The 2015 NIST Language Recognition Evaluation
Hui Zhao, Désiré Bansé, George Doddington et al.
Improving Prosodic Boundaries Prediction for Mandarin Speech Synthesis by Using Enhanced Embedding Feature and Model Fusion Approach
Yibin Zheng, Ya Li, Zhengqi Wen et al.
A Hybrid System for Continuous Word-Level Emphasis Modeling Based on HMM State Clustering and Adaptive Training
Quoc Truong Do, Tomoki Toda, Graham Neubig et al.
Pause Prediction from Text for Speech Synthesis with User-Definable Pause Insertion Likelihood Threshold
Norbert Braunschweiler, Ranniery Maia