Exploring the Role of Data Augmentation and FDLP Features on E2E Children's ASR Under Low Resource Conditions
Author:
Affiliation:
1. Dept. of ECE, NIT,Patna
2. Dept. of CSE, IIT,Patna
3. Dept. of CSE, CU.,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10631291/10631292/10631619.pdf?arnumber=10631619
Reference17 articles.
1. Age-Invariant Training for End-to-End Child Speech Recognition Using Adversarial Multi-Task Learning
2. End-to-end neural systems for automatic children speech recognition: An empirical study
3. Creating speaker independent ASR system through prosody modification based data augmentation
4. Creating Robust Children’s ASR System in Zero-Resource Condition Through Out-of-Domain Data Augmentation
5. Data augmentation for children asr and child-adult speaker classification using voice conversion methods;Shuyang,2023
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