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Classification

15,805 papers

Papers per year

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Papers

Optimizing Voice Activity Detection for Noisy Conditions INTERSPEECH 2019
Two-Dimensional Convolutional Recurrent Neural Networks for Speech Activity Detection INTERSPEECH 2019
Automatic Detection of the Temporal Segmentation of Hand Movements in British English Cued Speech INTERSPEECH 2019
Consonant Classification in Mandarin Based on the Depth Image Feature: A Pilot Study INTERSPEECH 2019
A Machine Learning Based Clustering Protocol for Determining Hearing Aid Initial Configurations from Pure-Tone Audiograms INTERSPEECH 2019
Acoustic Scene Classification with Mismatched Devices Using CliqueNets and Mixup Data Augmentation INTERSPEECH 2019
DeepLung: Smartphone Convolutional Neural Network-Based Inference of Lung Anomalies for Pulmonary Patients INTERSPEECH 2019
ReMASC: Realistic Replay Attack Corpus for Voice Controlled Systems INTERSPEECH 2019
The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity INTERSPEECH 2019
Deep Neural Baselines for Computational Paralinguistics INTERSPEECH 2019
Styrian Dialect Classification: Comparing and Fusing Classifiers Based on a Feature Selection Using a Genetic Algorithm INTERSPEECH 2019
Using Attention Networks and Adversarial Augmentation for Styrian Dialect Continuous Sleepiness and Baby Sound Recognition INTERSPEECH 2019
Ordinal Triplet Loss: Investigating Sleepiness Detection from Speech INTERSPEECH 2019
Using Fisher Vector and Bag-of-Audio-Words Representations to Identify Styrian Dialects, Sleepiness, Baby & Orca Sounds INTERSPEECH 2019
Instantaneous Phase and Long-Term Acoustic Cues for Orca Activity Detection INTERSPEECH 2019
Relevance-Based Feature Masking: Improving Neural Network Based Whale Classification Through Explainable Artificial Intelligence INTERSPEECH 2019
Spatial, Temporal and Spectral Multiresolution Analysis for the INTERSPEECH 2019 ComParE Challenge INTERSPEECH 2019
The DKU-LENOVO Systems for the INTERSPEECH 2019 Computational Paralinguistic Challenge INTERSPEECH 2019
Identifying Distinctive Acoustic and Spectral Features in Parkinson’s Disease INTERSPEECH 2019
Mel-Frequency Cepstral Coefficients of Voice Source Waveforms for Classification of Phonation Types in Speech INTERSPEECH 2019
Automatic Detection of Autism Spectrum Disorder in Children Using Acoustic and Text Features from Brief Natural Conversations INTERSPEECH 2019
Reliability of Clinical Voice Parameters Captured with Smartphones — Measurements of Added Noise and Spectral Tilt INTERSPEECH 2019
Audio Classification of Bit-Representation Waveform INTERSPEECH 2019
Locality-Constrained Linear Coding Based Fused Visual Features for Robust Acoustic Event Classification INTERSPEECH 2019
A Deep Residual Network for Large-Scale Acoustic Scene Analysis INTERSPEECH 2019