End-to-End Speech Intelligibility Prediction Using Time-Domain Fully Convolutional Neural Networks-Reference-Cited by-同舟云学术

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End-to-End Speech Intelligibility Prediction Using Time-Domain Fully Convolutional Neural Networks

Published:2020-10-25 Issue: Volume: Page:
ISSN:
Container-title:Interspeech 2020
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Author:

Pedersen Mathias B.,Kolbæk Morten,Andersen Asger H.,Jensen Søren H.,Jensen Jesper

Publisher

ISCA

Cited by 12 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. SAMI: an M-Health application to telemonitor intelligibility and speech disorder severity in head and neck cancers;Frontiers in Artificial Intelligence;2024-05-09

2. Speech intelligibility prediction using generalized ESTOI with fine-tuned parameters;Speech Communication;2024-04

3. Data-Driven Non-Intrusive Speech Intelligibility Prediction Using Speech Presence Probability;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

4. Can We Use Speaker Embeddings On Spontaneous Speech Obtained From Medical Conversations To Predict Intelligibility?;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

5. Towards Reducing Patient Effort for the Automatic Prediction of Speech Intelligibility in Head and Neck Cancers;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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