Papers
Large Margin Training for Attention Based End-to-End Speech Recognition
Peidong Wang, Jia Cui, Chao Weng et al.
Speaker Adaptation for Attention-Based End-to-End Speech Recognition
Zhong Meng, Yashesh Gaur, Jinyu Li et al.
Auxiliary Interference Speaker Loss for Target-Speaker Speech Recognition
Naoyuki Kanda, Shota Horiguchi, Ryoichi Takashima et al.
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention
Christoph Lüscher, Eugen Beck, Kazuki Irie et al.
Untranscribed Web Audio for Low Resource Speech Recognition
Andrea Carmantini, Peter Bell, Steve Renals
A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews
Adria Mallol-Ragolta, Ziping Zhao, Lukas Stappen et al.
A Saliency-Based Attention LSTM Model for Cognitive Load Classification from Speech
Ascensión Gallardo-Antolín, Juan Manuel Montero
Attentive to Individual: A Multimodal Emotion Recognition Network with Personalized Attention Profile
Jeng-Lin Li, Chi-Chun Lee
Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition
Ziping Zhao, Zhongtian Bao, Zixing Zhang et al.
Survey Talk: When Attention Meets Speech Applications: Speech & Speaker Recognition Perspective
Kyu J. Han, Ramon Prieto, Tao Ma
A Speaker-Dependent WaveNet for Voice Conversion with Non-Parallel Data
Xiaohai Tian, Eng Siong Chng, Haizhou Li
Quasi-Periodic WaveNet Vocoder: A Pitch Dependent Dilated Convolution Model for Parametric Speech Generation
Yi-Chiao Wu, Tomoki Hayashi, Patrick Lumban Tobing et al.
Analysis by Adversarial Synthesis — A Novel Approach for Speech Vocoding
Ahmed Mustafa, Arijit Biswas, Christian Bergler et al.
Expediting TTS Synthesis with Adversarial Vocoding
Paarth Neekhara, Chris Donahue, Miller Puckette et al.
Towards Achieving Robust Universal Neural Vocoding
Jaime Lorenzo-Trueba, Thomas Drugman, Javier Latorre et al.
High Quality, Lightweight and Adaptable TTS Using LPCNet
Zvi Kons, Slava Shechtman, Alex Sorin et al.
Data Augmentation Using GANs for Speech Emotion Recognition
Aggelina Chatziagapi, Georgios Paraskevopoulos, Dimitris Sgouropoulos et al.
Excitation Source and Vocal Tract System Based Acoustic Features for Detection of Nasals in Continuous Speech
Bhanu Teja Nellore, Sri Harsha Dumpala, Karan Nathwani et al.
Learning Problem-Agnostic Speech Representations from Multiple Self-Supervised Tasks
Santiago Pascual, Mirco Ravanelli, Joan Serrà et al.
Glottal Closure Instants Detection from Speech Signal by Deep Features Extracted from Raw Speech and Linear Prediction Residual
Gurunath Reddy M., K. Sreenivasa Rao, Partha Pratim Das
An Unsupervised Autoregressive Model for Speech Representation Learning
Yu-An Chung, Wei-Ning Hsu, Hao Tang et al.
SPEAK YOUR MIND! Towards Imagined Speech Recognition with Hierarchical Deep Learning
Pramit Saha, Muhammad Abdul-Mageed, Sidney Fels
Hush-Hush Speak: Speech Reconstruction Using Silent Videos
Shashwat Uttam, Yaman Kumar, Dhruva Sahrawat et al.
Individual Differences of Airflow and Sound Generation in the Vocal Tract of Sibilant /s/
Tsukasa Yoshinaga, Kazunori Nozaki, Shigeo Wada