conftrace_

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)

Attention Based Hybrid i-Vector BLSTM Model for Language Recognition INTERSPEECH 2019
RawNet: Advanced End-to-End Deep Neural Network Using Raw Waveforms for Text-Independent Speaker Verification INTERSPEECH 2019
Improving Keyword Spotting and Language Identification via Neural Architecture Search at Scale INTERSPEECH 2019
Joint Training Framework for Text-to-Speech and Voice Conversion Using Multi-Source Tacotron and WaveNet INTERSPEECH 2019
Real-Time Neural Text-to-Speech with Sequence-to-Sequence Acoustic Model and WaveGlow or Single Gaussian WaveRNN Vocoders INTERSPEECH 2019
Self Attention in Variational Sequential Learning for Summarization INTERSPEECH 2019
Practical Applicability of Deep Neural Networks for Overlapping Speaker Separation INTERSPEECH 2019
Improved Speech Separation with Time-and-Frequency Cross-Domain Joint Embedding and Clustering INTERSPEECH 2019
Multi-Span Acoustic Modelling Using Raw Waveform Signals INTERSPEECH 2019
An Analysis of Local Monotonic Attention Variants INTERSPEECH 2019
Improving Transformer-Based End-to-End Speech Recognition with Connectionist Temporal Classification and Language Model Integration INTERSPEECH 2019
Bag-of-Acoustic-Words for Mental Health Assessment: A Deep Autoencoding Approach INTERSPEECH 2019
Detecting Depression with Word-Level Multimodal Fusion INTERSPEECH 2019
Multi-Lingual Dialogue Act Recognition with Deep Learning Methods INTERSPEECH 2019
The 2018 NIST Speaker Recognition Evaluation INTERSPEECH 2019
x-Vector DNN Refinement with Full-Length Recordings for Speaker Recognition INTERSPEECH 2019
MOSNet: Deep Learning-Based Objective Assessment for Voice Conversion INTERSPEECH 2019
Whether to Pretrain DNN or not?: An Empirical Analysis for Voice Conversion INTERSPEECH 2019
Detection of Glottal Closure Instants from Raw Speech Using Convolutional Neural Networks INTERSPEECH 2019
Guiding CTC Posterior Spike Timings for Improved Posterior Fusion and Knowledge Distillation INTERSPEECH 2019
Direct Neuron-Wise Fusion of Cognate Neural Networks INTERSPEECH 2019
Two Tiered Distributed Training Algorithm for Acoustic Modeling INTERSPEECH 2019
Exploring the Encoder Layers of Discriminative Autoencoders for LVCSR INTERSPEECH 2019
Framewise Supervised Training Towards End-to-End Speech Recognition Models: First Results INTERSPEECH 2019
Leveraging Acoustic Cues and Paralinguistic Embeddings to Detect Expression from Voice INTERSPEECH 2019