The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring-Reference-Cited by-同舟云学术

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The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring

Published:2017-08-20 Issue: Volume: Page:
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Container-title:Interspeech 2017
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Author:

Schuller Björn,Steidl Stefan,Batliner Anton,Bergelson Elika,Krajewski Jarek,Janott Christoph,Amatuni Andrei,Casillas Marisa,Seidl Amanda,Soderstrom Melanie,Warlaumont Anne S.,Hidalgo Guillermo,Schnieder Sebastian,Heiser Clemens,Hohenhorst Winfried,Herzog Michael,Schmitt Maximilian,Qian Kun,Zhang Yue,Trigeorgis George,Tzirakis Panagiotis,Zafeiriou Stefanos

Publisher

ISCA

Cited by 94 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detection of the common cold from speech signals using transformer model and spectral features;Biomedical Signal Processing and Control;2024-07

2. “You don't sound well, you should take the day off”: Automatic detection of upper respiratory tract infections from speech using time-frequency domain deep convolutional neural network;Applied Acoustics;2024-04

3. CoRePooL—Corpus for Resource‐Poor Languages;Automatic Speech Recognition and Translation for Low Resource Languages;2024-03-29

4. LSTM- and GRU-Based Common Cold Detection from Speech Signal;Advances in Intelligent Systems and Computing;2024

5. Detection of Common Cold From Speech Signals Using Breathiness Features;2023 IEEE 20th India Council International Conference (INDICON);2023-12-14

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