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Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

Hierarchical Constrained Bayesian Optimization for Feature, Acoustic Model and Decoder Parameter Optimization INTERSPEECH 2017
Estimation of Gap Between Current Language Models and Human Performance INTERSPEECH 2017
An Objective Critical Distance Measure Based on the Relative Level of Spectral Valley INTERSPEECH 2017
Investigating Efficient Feature Representation Methods and Training Objective for BLSTM-Based Phone Duration Prediction INTERSPEECH 2017
Discrete Duration Model for Speech Synthesis INTERSPEECH 2017
Robustness Over Time-Varying Channels in DNN-HMM ASR Based Human-Robot Interaction INTERSPEECH 2017
To See or not to See: Interlocutor Visibility and Likeability Influence Convergence in Intonation INTERSPEECH 2017
CTC in the Context of Generalized Full-Sum HMM Training INTERSPEECH 2017
Acoustic-to-Articulatory Mapping Based on Mixture of Probabilistic Canonical Correlation Analysis INTERSPEECH 2017
Nonparametrically Trained Probabilistic Linear Discriminant Analysis for i-Vector Speaker Verification INTERSPEECH 2017
Iterative Optimal Preemphasis for Improved Glottal-Flow Estimation by Iterative Adaptive Inverse Filtering INTERSPEECH 2017
Humans do not Maximize the Probability of Correct Decision When Recognizing DANTALE Words in Noise INTERSPEECH 2017
A Maximum Likelihood Approach to Deep Neural Network Based Nonlinear Spectral Mapping for Single-Channel Speech Separation INTERSPEECH 2017
Variational Recurrent Neural Networks for Speech Separation INTERSPEECH 2017
An Investigation of Emotion Prediction Uncertainty Using Gaussian Mixture Regression INTERSPEECH 2017
Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping INTERSPEECH 2017
Highway-LSTM and Recurrent Highway Networks for Speech Recognition INTERSPEECH 2017
Stochastic Recurrent Neural Network for Speech Recognition INTERSPEECH 2017
The MIT-LL, JHU and LRDE NIST 2016 Speaker Recognition Evaluation System INTERSPEECH 2017
Speaking Style Conversion from Normal to Lombard Speech Using a Glottal Vocoder and Bayesian GMMs INTERSPEECH 2017
The Formant Dynamics of Long Close Vowels in Three Varieties of Swedish INTERSPEECH 2017
A Generative Model for Score Normalization in Speaker Recognition INTERSPEECH 2017
Gain Compensation for Fast i-Vector Extraction Over Short Duration INTERSPEECH 2017
Joint Training of Expanded End-to-End DNN for Text-Dependent Speaker Verification INTERSPEECH 2017
Domain Mismatch Modeling of Out-Domain i-Vectors for PLDA Speaker Verification INTERSPEECH 2017