conftrace_
← Core Methods
Machine Learning › Core Methods ›

Classification

15,289 papers

Papers per year

Papers

Earlier Identification of Children with Autism Spectrum Disorder: An Automatic Vocalisation-Based Approach INTERSPEECH 2017
Convolutional Neural Network to Model Articulation Impairments in Patients with Parkinson’s Disease INTERSPEECH 2017
Phone Classification Using a Non-Linear Manifold with Broad Phone Class Dependent DNNs INTERSPEECH 2017
Multilingual i-Vector Based Statistical Modeling for Music Genre Classification INTERSPEECH 2017
Indoor/Outdoor Audio Classification Using Foreground Speech Segmentation INTERSPEECH 2017
Frame-Wise Dynamic Threshold Based Polyphonic Acoustic Event Detection INTERSPEECH 2017
Enhanced Feature Extraction for Speech Detection in Media Audio INTERSPEECH 2017
Audio Classification Using Class-Specific Learned Descriptors INTERSPEECH 2017
A Robust Voiced/Unvoiced Phoneme Classification from Whispered Speech Using the ‘Color’ of Whispered Phonemes and Deep Neural Network INTERSPEECH 2017
Semantic Edge Detection for Tracking Vocal Tract Air-Tissue Boundaries in Real-Time Magnetic Resonance Images INTERSPEECH 2017
Discrete Duration Model for Speech Synthesis INTERSPEECH 2017
Elicitation Design for Acoustic Depression Classification: An Investigation of Articulation Effort, Linguistic Complexity, and Word Affect INTERSPEECH 2017
Robustness Over Time-Varying Channels in DNN-HMM ASR Based Human-Robot Interaction INTERSPEECH 2017
Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results INTERSPEECH 2017
Incremental Dialogue Act Recognition: Token- vs Chunk-Based Classification INTERSPEECH 2017
Nonparametrically Trained Probabilistic Linear Discriminant Analysis for i-Vector Speaker Verification INTERSPEECH 2017
Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms INTERSPEECH 2017
Interaction and Transition Model for Speech Emotion Recognition in Dialogue INTERSPEECH 2017
Discretized Continuous Speech Emotion Recognition with Multi-Task Deep Recurrent Neural Network INTERSPEECH 2017
Detecting Overlapped Speech on Short Timeframes Using Deep Learning INTERSPEECH 2017
Speech Emotion Recognition with Emotion-Pair Based Framework Considering Emotion Distribution Information in Dimensional Emotion Space INTERSPEECH 2017
Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping INTERSPEECH 2017
Frame and Segment Level Recurrent Neural Networks for Phone Classification INTERSPEECH 2017
The MIT-LL, JHU and LRDE NIST 2016 Speaker Recognition Evaluation System INTERSPEECH 2017
Analysis and Description of ABC Submission to NIST SRE 2016 INTERSPEECH 2017