conftrace_

Machine Learning

121,146 papers (10 classified directly here)

Subtopics

Learning Types (52,936) Core Methods (48,729) Optimization & Theory (36,874) Application Areas (31,658) Bayesian & Probabilistic (3,963) Learning Paradigms (2,054)

Papers per year

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Papers (including subtopics)

Toward High-Performance Language-Independent Query-by-Example Spoken Term Detection for MediaEval 2015: Post-Evaluation Analysis INTERSPEECH 2016
Novel Subband Autoencoder Features for Non-Intrusive Quality Assessment of Noise Suppressed Speech INTERSPEECH 2016
SNR-Based Progressive Learning of Deep Neural Network for Speech Enhancement INTERSPEECH 2016
A Novel Risk-Estimation-Theoretic Framework for Speech Enhancement in Nonstationary and Non-Gaussian Noise Conditions INTERSPEECH 2016
Two-Stage Temporal Processing for Single-Channel Speech Enhancement INTERSPEECH 2016
A Class-Specific Speech Enhancement for Phoneme Recognition: A Dictionary Learning Approach INTERSPEECH 2016
Speech Enhancement in Multiple-Noise Conditions Using Deep Neural Networks INTERSPEECH 2016
Perception Optimized Deep Denoising AutoEncoders for Speech Enhancement INTERSPEECH 2016
Semi-Supervised Joint Enhancement of Spectral and Cepstral Sequences of Noisy Speech INTERSPEECH 2016
A DNN-HMM Approach to Non-Negative Matrix Factorization Based Speech Enhancement INTERSPEECH 2016
SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement INTERSPEECH 2016
An Iterative Phase Recovery Framework with Phase Mask for Spectral Mapping with an Application to Speech Enhancement INTERSPEECH 2016
A Novel Research to Artificial Bandwidth Extension Based on Deep BLSTM Recurrent Neural Networks and Exemplar-Based Sparse Representation INTERSPEECH 2016
On the Use of Gaussian Mixture Model Framework to Improve Speaker Adaptation of Deep Neural Network Acoustic Models INTERSPEECH 2016
Analytical Assessment of Dual-Stream Merging for Noise-Robust ASR INTERSPEECH 2016
Joint Optimization of Denoising Autoencoder and DNN Acoustic Model Based on Multi-Target Learning for Noisy Speech Recognition INTERSPEECH 2016
Optimization of Speech Enhancement Front-End with Speech Recognition-Level Criterion INTERSPEECH 2016
Factorized Linear Input Network for Acoustic Model Adaptation in Noisy Conditions INTERSPEECH 2016
Data Augmentation Using Multi-Input Multi-Output Source Separation for Deep Neural Network Based Acoustic Modeling INTERSPEECH 2016
Microphone Distance Adaptation Using Cluster Adaptive Training for Robust Far Field Speech Recognition INTERSPEECH 2016
An Investigation on the Use of i-Vectors for Robust ASR INTERSPEECH 2016
Semi-Supervised Speaker Adaptation for In-Vehicle Speech Recognition with Deep Neural Networks INTERSPEECH 2016
Semi-Supervised Training in Deep Learning Acoustic Model INTERSPEECH 2016
Multilingual Data Selection for Low Resource Speech Recognition INTERSPEECH 2016
An Investigation on Training Deep Neural Networks Using Probabilistic Transcriptions INTERSPEECH 2016