conftrace_
← Core Methods
Machine Learning › Core Methods ›

Classification

15,289 papers

Papers per year

Papers

Generating Complementary Acoustic Model Spaces in DNN-Based Sequence-to-Frame DTW Scheme for Out-of-Vocabulary Spoken Term Detection INTERSPEECH 2016
Multi-Task Learning and Weighted Cross-Entropy for DNN-Based Keyword Spotting INTERSPEECH 2016
Non-Uniform Boosted MCE Training of Deep Neural Networks for Keyword Spotting INTERSPEECH 2016
Articulatory Feature Extraction Using CTC to Build Articulatory Classifiers Without Forced Frame Alignments for Speech Recognition INTERSPEECH 2016
On the Role of Nonlinear Transformations in Deep Neural Network Acoustic Models INTERSPEECH 2016
Analysis of Speaker Recognition Systems in Realistic Scenarios of the SITW 2016 Challenge INTERSPEECH 2016
Privacy-Preserving Speech Analytics for Automatic Assessment of Student Collaboration INTERSPEECH 2016
Effects of Stress on Fricatives: Evidence from Standard Modern Greek INTERSPEECH 2016
Automatic Paragraph Segmentation with Lexical and Prosodic Features INTERSPEECH 2016
Acoustic Differences Between English /t/ Glottalization and Phrasal Creak INTERSPEECH 2016
Analyzing the Contribution of Top-Down Lexical and Bottom-Up Acoustic Cues in the Detection of Sentence Prominence INTERSPEECH 2016
Personalized Natural Language Understanding INTERSPEECH 2016
Acoustic-Prosodic and Turn-Taking Features in Interactions with Children with Neurodevelopmental Disorders INTERSPEECH 2016
Automatic Detection of Parkinson’s Disease Based on Modulated Vowels INTERSPEECH 2016
Diagnosing People with Dementia Using Automatic Conversation Analysis INTERSPEECH 2016
Evaluation of Singing Synthesis: Methodology and Case Study with Concatenative and Performative Systems INTERSPEECH 2016
Recurrent Out-of-Vocabulary Word Detection Using Distribution of Features INTERSPEECH 2016
Do GMM Phoneme Classifiers Perceive Synthetic Sibilants as Humans Do? INTERSPEECH 2016
Combining CNN and BLSTM to Extract Textual and Acoustic Features for Recognizing Stances in Mandarin Ideological Debate Competition INTERSPEECH 2016
Speaker Age Classification and Regression Using i-Vectors INTERSPEECH 2016
Sparsely Connected and Disjointly Trained Deep Neural Networks for Low Resource Behavioral Annotation: Acoustic Classification in Couples’ Therapy INTERSPEECH 2016
Automatically Classifying Self-Rated Personality Scores from Speech INTERSPEECH 2016
Enhancement of Automatic Oral Presentation Assessment System Using Latent N-Grams Word Representation and Part-of-Speech Information INTERSPEECH 2016
Use of Vowels in Discriminating Speech-Laugh from Laughter and Neutral Speech INTERSPEECH 2016
Unipolar Depression vs. Bipolar Disorder: An Elicitation-Based Approach to Short-Term Detection of Mood Disorder INTERSPEECH 2016