Age-Invariant Training for End-to-End Child Speech Recognition Using Adversarial Multi-Task Learning-Reference-Cited by-同舟云学术

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Age-Invariant Training for End-to-End Child Speech Recognition Using Adversarial Multi-Task Learning

Published:2021-08-30 Issue: Volume: Page:
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Container-title:Interspeech 2021
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Author:

Rumberg Lars,Ehlert Hanna,Lüdtke Ulrike,Ostermann Jörn

Publisher

ISCA

Cited by 9 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. Exploring the Role of Data Augmentation and FDLP Features on E2E Children's ASR Under Low Resource Conditions;2024 International Conference on Signal Processing and Communications (SPCOM);2024-07-01

2. Effect of Modeling Glottal Activity Parameters on Zero-Shot Children's ASR;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

3. Using Modified Adult Speech as Data Augmentation for Child Speech Recognition;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

4. Weak-Supervised Dysarthria-Invariant Features for Spoken Language Understanding Using an Fhvae and Adversarial Training;2022 IEEE Spoken Language Technology Workshop (SLT);2023-01-09

5. Multidisciplinary Perspectives on Automatic Analysis of Children’s Language Samples: Where Do We Go from Here?;Folia Phoniatrica et Logopaedica;2022-10-07

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