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Deep Learning

66,648 papers (25 classified directly here)

Subtopics

Learning Types (28,663) Architectures (27,448) Models (16,617) Techniques (8,241) Optimization & Theory (6,829) Application Areas (46)

Papers per year

2
65
428
6150
10854
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Papers (including subtopics)

Prosody Aware Word-Level Encoder Based on BLSTM-RNNs for DNN-Based Speech Synthesis INTERSPEECH 2017
Global Syllable Vectors for Building TTS Front-End with Deep Learning INTERSPEECH 2017
Investigating Efficient Feature Representation Methods and Training Objective for BLSTM-Based Phone Duration Prediction INTERSPEECH 2017
Comparison of Modeling Target in LSTM-RNN Duration Model INTERSPEECH 2017
Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results INTERSPEECH 2017
Enhancing Backchannel Prediction Using Word Embeddings INTERSPEECH 2017
A Comparison of Sequence-to-Sequence Models for Speech Recognition INTERSPEECH 2017
CTC in the Context of Generalized Full-Sum HMM Training INTERSPEECH 2017
Advances in Joint CTC-Attention Based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM INTERSPEECH 2017
Direct Acoustics-to-Word Models for English Conversational Speech Recognition INTERSPEECH 2017
Reducing the Computational Complexity of Two-Dimensional LSTMs INTERSPEECH 2017
A Speaker Adaptive DNN Training Approach for Speaker-Independent Acoustic Inversion INTERSPEECH 2017
Deep Neural Network Embeddings for Text-Independent Speaker Verification INTERSPEECH 2017
Tied Variational Autoencoder Backends for i-Vector Speaker Recognition INTERSPEECH 2017
Phrase Break Prediction for Long-Form Reading TTS: Exploiting Text Structure Information INTERSPEECH 2017
Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms INTERSPEECH 2017
Waveform Modeling Using Stacked Dilated Convolutional Neural Networks for Speech Bandwidth Extension INTERSPEECH 2017
A Hierarchical Encoder-Decoder Model for Statistical Parametric Speech Synthesis INTERSPEECH 2017
Google’s Next-Generation Real-Time Unit-Selection Synthesizer Using Sequence-to-Sequence LSTM-Based Autoencoders INTERSPEECH 2017
A Maximum Likelihood Approach to Deep Neural Network Based Nonlinear Spectral Mapping for Single-Channel Speech Separation INTERSPEECH 2017
Deep Clustering-Based Beamforming for Separation with Unknown Number of Sources INTERSPEECH 2017
Variational Recurrent Neural Networks for Speech Separation INTERSPEECH 2017
Detecting Overlapped Speech on Short Timeframes Using Deep Learning INTERSPEECH 2017
Ideal Ratio Mask Estimation Using Deep Neural Networks for Monaural Speech Segregation in Noisy Reverberant Conditions INTERSPEECH 2017
Capturing Long-Term Temporal Dependencies with Convolutional Networks for Continuous Emotion Recognition INTERSPEECH 2017