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Improving Children's Speech Recognition Through Explicit Pitch Scaling Based on Iterative Spectrogram Inversion.

, , , , and . INTERSPEECH, page 2391-2395. ISCA, (2017)

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Speaker Verification Experiments for Adults and Children Using Shared Embedding Spaces., , , and . NoDaLiDa, page 86-93. Linköping University Electronic Press, Sweden, (2021)Data Augmentation Using Prosody and False Starts to Recognize Non-Native Children's Speech., , , and . INTERSPEECH, page 260-264. ISCA, (2020)Role of Linear, Mel and Inverse-Mel Filterbanks in Automatic Recognition of Speech from High-Pitched Speakers., , , and . CSSP, 38 (10): 4667-4682 (2019)Improving children speech recognition in acoustically mismatched condition using eigenvoices and feature projections., , and . NCC, page 1-5. IEEE, (2017)On the Role of Linear, Mel and Inverse-Mel Filterbank in the Context of Automatic Speech Recognition., , , and . NCC, page 1-5. IEEE, (2019)Role of Prosodic Features on Children's Speech Recognition., , , and . ICASSP, page 5519-5523. IEEE, (2018)Effect of Linear Prediction Order to Modify Formant Locations for Children Speech Recognition., , and . SPECOM (1), volume 14338 of Lecture Notes in Computer Science, page 483-493. Springer, (2023)Study of Formant Modification for Children ASR., , , and . ICASSP, page 7429-7433. IEEE, (2020)Vowel Non-Vowel Based Spectral Warping and Time Scale Modification for Improvement in Children's ASR., , and . ICASSP, page 6983-6987. IEEE, (2021)Creating speaker independent ASR system through prosody modification based data augmentation., , , and . Pattern Recognit. Lett., (2020)