conftrace_
← Core Methods
Machine Learning › Core Methods ›

Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
'00
'05
'10
'15
'20
'25

Papers

Estimation of Children’s Physical Characteristics from Their Voices INTERSPEECH 2016
An Articulatory-Based Singing Voice Synthesis Using Tongue and Lips Imaging INTERSPEECH 2016
Generating Gestural Scores from Acoustics Through a Sparse Anchor-Based Representation of Speech INTERSPEECH 2016
A Real-Time Framework for Visual Feedback of Articulatory Data Using Statistical Shape Models INTERSPEECH 2016
The USTC System for Voice Conversion Challenge 2016: Neural Network Based Approaches for Spectrum, Aperiodicity and F0Conversion INTERSPEECH 2016
A Voice Conversion Mapping Function Based on a Stacked Joint-Autoencoder INTERSPEECH 2016
Locally Linear Embedding for Exemplar-Based Spectral Conversion INTERSPEECH 2016
ML Parameter Generation with a Reformulated MGE Training Criterion — Participation in the Voice Conversion Challenge 2016 INTERSPEECH 2016
Inter-Task System Fusion for Speaker Recognition INTERSPEECH 2016
Why do ASR Systems Despite Neural Nets Still Depend on Robust Features INTERSPEECH 2016
Two-Pass IB Based Speaker Diarization System Using Meeting-Specific ANN Based Features INTERSPEECH 2016
Entropy Based Pruning for Non-Negative Matrix Based Language Models with Contextual Features INTERSPEECH 2016
Data Selection by Sequence Summarizing Neural Network in Mismatch Condition Training INTERSPEECH 2016
Native Language Identification Using Spectral and Source-Based Features INTERSPEECH 2016
Deep Bidirectional LSTM Modeling of Timbre and Prosody for Emotional Voice Conversion INTERSPEECH 2016
Semi-Coupled Dictionary Based Automatic Bandwidth Extension Approach for Enhancing Children’s ASR INTERSPEECH 2016
Feature Learning and Automatic Segmentation for Dolphin Communication Analysis INTERSPEECH 2016
Neural Attention Models for Sequence Classification: Analysis and Application to Key Term Extraction and Dialogue Act Detection INTERSPEECH 2016
Improving Generalisation to New Speakers in Spoken Dialogue State Tracking INTERSPEECH 2016
Towards Machine Comprehension of Spoken Content: Initial TOEFL Listening Comprehension Test by Machine INTERSPEECH 2016
How Neural Network Depth Compensates for HMM Conditional Independence Assumptions in DNN-HMM Acoustic Models INTERSPEECH 2016
Enhance the Word Vector with Prosodic Information for the Recurrent Neural Network Based TTS System INTERSPEECH 2016
Local Sparsity Based Online Dictionary Learning for Environment-Adaptive Speech Enhancement with Nonnegative Matrix Factorization INTERSPEECH 2016
Noise Aware and Combined Noise Models for Speech Denoising in Unknown Noise Conditions INTERSPEECH 2016
Language Recognition via Sparse Coding INTERSPEECH 2016