Predicting Fundamental Frequency Patterns in Electrolaryngeal Speech Using Automated Phoneme Extraction
We propose a system to enhance electrolaryngeal speech naturalness using automatically extracted phoneme representations. Phonemes provide sufficient information for predicting reasonably natural fundamental frequency patterns. Previous studies using forced-aligned phoneme labels to create shared fe...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10978849/ |
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