Co-occurring keywords
Papers
Speaker-Targeted Audio-Visual Models for Speech Recognition in Cocktail-Party Environments
INTERSPEECH 2016
Deep Compositional Captioning: Describing Novel Object Categories Without Paired Training Data
CVPR 2016
Semi-Supervised Training in Deep Learning Acoustic Model
INTERSPEECH 2016
Joint Optimization of Denoising Autoencoder and DNN Acoustic Model Based on Multi-Target Learning for Noisy Speech Recognition
INTERSPEECH 2016
Speaker Recognition Using Real vs Synthetic Parallel Data for DNN Channel Compensation
INTERSPEECH 2016
How Neural Network Depth Compensates for HMM Conditional Independence Assumptions in DNN-HMM Acoustic Models
INTERSPEECH 2016
Determining Native Language and Deception Using Phonetic Features and Classifier Combination
INTERSPEECH 2016
Multimodal Fusion of Multirate Acoustic, Prosodic, and Lexical Speaker Characteristics for Native Language Identification
INTERSPEECH 2016
Robust Speech Recognition Using Generalized Distillation Framework
INTERSPEECH 2016
Assessing Speech Quality in Speech-Aware Hearing Aids Based on Phoneme Posteriorgrams
INTERSPEECH 2016
Investigation of Semi-Supervised Acoustic Model Training Based on the Committee of Heterogeneous Neural Networks
INTERSPEECH 2016
Novel Front-End Features Based on Neural Graph Embeddings for DNN-HMM and LSTM-CTC Acoustic Modeling
INTERSPEECH 2016
Speech Bandwidth Extension Using Bottleneck Features and Deep Recurrent Neural Networks
INTERSPEECH 2016
Automatic Classification of Lexical Stress in English and Arabic Languages Using Deep Learning
INTERSPEECH 2016
Improved Neural Network Initialization by Grouping Context-Dependent Targets for Acoustic Modeling
INTERSPEECH 2016
Probabilistic Amplitude Demodulation Features in Speech Synthesis for Improving Prosody
INTERSPEECH 2016
DNN-Based Amplitude and Phase Feature Enhancement for Noise Robust Speaker Identification
INTERSPEECH 2016
Training Very Deep Networks
NIPS 2015
Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images
CVPR 2015
Going Deeper With Convolutions
CVPR 2015