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)

Maximum a posteriori Based Decoding for CTC Acoustic Models INTERSPEECH 2016
Phonetic and Phonological Posterior Search Space Hashing Exploiting Class-Specific Sparsity Structures INTERSPEECH 2016
Model Compression Applied to Small-Footprint Keyword Spotting INTERSPEECH 2016
Why do ASR Systems Despite Neural Nets Still Depend on Robust Features INTERSPEECH 2016
An Adaptive Multi-Band System for Low Power Voice Command Recognition INTERSPEECH 2016
Memory-Efficient Modeling and Search Techniques for Hardware ASR Decoders INTERSPEECH 2016
Log-Linear System Combination Using Structured Support Vector Machines INTERSPEECH 2016
Efficient Segmental Cascades for Speech Recognition INTERSPEECH 2016
A WFST Framework for Single-Pass Multi-Stream Decoding INTERSPEECH 2016
Speech Features for Depression Detection INTERSPEECH 2016
Parkinson’s Disease Progression Assessment from Speech Using GMM-UBM INTERSPEECH 2016
Speech-Based Detection of Alzheimer’s Disease in Conversational German INTERSPEECH 2016
Cross-Cultural Depression Recognition from Vocal Biomarkers INTERSPEECH 2016
Does She Speak RTT? Towards an Earlier Identification of Rett Syndrome Through Intelligent Pre-Linguistic Vocalisation Analysis INTERSPEECH 2016
Reducing the Computational Complexity of Multimicrophone Acoustic Models with Integrated Feature Extraction INTERSPEECH 2016
Neural Network Adaptive Beamforming for Robust Multichannel Speech Recognition INTERSPEECH 2016
Far-Field ASR Without Parallel Data INTERSPEECH 2016
The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language INTERSPEECH 2016
The Deception Sub-Challenge: The Data INTERSPEECH 2016
Combining Acoustic-Prosodic, Lexical, and Phonotactic Features for Automatic Deception Detection INTERSPEECH 2016
Is Deception Emotional? An Emotion-Driven Predictive Approach INTERSPEECH 2016
Prosodic Cues and Answer Type Detection for the Deception Sub-Challenge INTERSPEECH 2016
The Sincerity Sub-Challenge: The Data INTERSPEECH 2016
Automatic Estimation of Perceived Sincerity from Spoken Language INTERSPEECH 2016
Estimating the Sincerity of Apologies in Speech by DNN Rank Learning and Prosodic Analysis INTERSPEECH 2016