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Photonics for radio access networks., , , and . ICTON, page 1-4. IEEE, (2017)Maximizing Data Efficiency for Cross-Lingual TTS Adaptation by Self-Supervised Representation Mixing and Embedding Initialization., , and . ASRU, page 1-8. IEEE, (2023)Quasilinear Control of Systems with Time-Delays and Nonlinear Actuators and Sensors., , and . ACC, page 3719-3725. IEEE, (2019)On the Utility of Self-Supervised Models for Prosody-Related Tasks., , , , , , , and . SLT, page 1104-1111. IEEE, (2022)Few Shot Cross-Lingual TTS Using Transferable Phoneme Embedding., , , and . INTERSPEECH, page 4566-4570. ISCA, (2022)Understanding Sounds, Missing the Questions: The Challenge of Object Hallucination in Large Audio-Language Models., , and . CoRR, (2024)Findings of the 2023 ML-Superb Challenge: Pre-Training And Evaluation Over More Languages And Beyond., , , , , , , , , and 3 other author(s). ASRU, page 1-8. IEEE, (2023)Findings of the 2023 ML-SUPERB Challenge: Pre-Training and Evaluation over More Languages and Beyond., , , , , , , , , and 3 other author(s). CoRR, (2023)ML-SUPERB: Multilingual Speech Universal PERformance Benchmark., , , , , , , , , and 1 other author(s). INTERSPEECH, page 884-888. ISCA, (2023)Why We Should Report the Details in Subjective Evaluation of TTS More Rigorously., , and . INTERSPEECH, page 5551-5555. ISCA, (2023)