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Techniques

8,241 papers (36 classified directly here)

Subtopics

Model Architecture (4,354) Pretraining (2,483) Attention (1,111) Normalization (341) Attention Mechanism (150)

Papers per year

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Papers (including subtopics)

Exploring Emotional Prototypes in a High Dimensional TTS Latent Space INTERSPEECH 2021
A Hands-On Comparison of DNNs for Dialog Separation Using Transfer Learning from Music Source Separation INTERSPEECH 2021
Transformer Based End-to-End Mispronunciation Detection and Diagnosis INTERSPEECH 2021
LT-LM: A Novel Non-Autoregressive Language Model for Single-Shot Lattice Rescoring INTERSPEECH 2021
Deep Neural Network Calibration for E2E Speech Recognition System INTERSPEECH 2021
Coughing-Based Recognition of Covid-19 with Spatial Attentive ConvLSTM Recurrent Neural Networks INTERSPEECH 2021
Energy-Friendly Keyword Spotting System Using Add-Based Convolution INTERSPEECH 2021
An Improved Wav2Vec 2.0 Pre-Training Approach Using Enhanced Local Dependency Modeling for Speech Recognition INTERSPEECH 2021
Amortized Neural Networks for Low-Latency Speech Recognition INTERSPEECH 2021
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation INTERSPEECH 2021
Adaptive Text to Speech for Spontaneous Style INTERSPEECH 2021
Three-Module Modeling For End-to-End Spoken Language Understanding Using Pre-Trained DNN-HMM-Based Acoustic-Phonetic Model INTERSPEECH 2021
Speak or Chat with Me: End-to-End Spoken Language Understanding System with Flexible Inputs INTERSPEECH 2021
A Greedy Algorithm for Quantizing Neural Networks JMLR 2021
Tighter Risk Certificates for Neural Networks JMLR 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks JMLR 2021
A unified framework for Hamiltonian deep neural networks L4DC 2021
Physics-penalised Regularisation for Learning Dynamics Models with Contact L4DC 2021
Attention via Scattering Transforms for Segmentation of Small Intravascular Ultrasound Data Sets MIDL 2021
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations MIDL 2021
Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features MIDL 2021
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning MIDL 2021
Feature-based image registration in structured light endoscopy MIDL 2021
Benefits of Linear Conditioning for Segmentation using Metadata MIDL 2021
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images MIDL 2021