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Sub-band text-to-speech combining sample-based spectrum with statistically generated spectrum.

, , , , , and . INTERSPEECH, page 264-268. ISCA, (2015)

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Can We Simulate Generative Process of Acoustic Modeling Data? Towards Data Restoration for Acoustic Modeling., , , , and . APSIPA, page 655-661. IEEE, (2019)Zero-Shot Text-to-Speech Synthesis Conditioned Using Self-Supervised Speech Representation Model., , , , and . ICASSP Workshops, page 1-5. IEEE, (2023)SIMD-Size Aware Weight Regularization for Fast Neural Vocoding on CPU., and . SLT, page 955-961. IEEE, (2022)Unveiling the Linguistic Capabilities of a Self-Supervised Speech Model Through Cross-Lingual Benchmark and Layer- Wise Similarity Analysis., , , and . IEEE Access, (2024)Noise-Robust Zero-Shot Text-to-Speech Synthesis Conditioned on Self-Supervised Speech-Representation Model with Adapters., , , , , , and . ICASSP, page 11471-11475. IEEE, (2024)An on-line adaptation technique for emotional speech recognition using style estimation with multiple-regression HMM., , , and . INTERSPEECH, page 1297-1300. ISCA, (2008)End-to-End Automatic Speech Recognition with a Reconstruction Criterion Using Speech-to-Text and Text-to-Speech Encoder-Decoders., , , , , and . INTERSPEECH, page 1606-1610. ISCA, (2019)Phonetic and Prosodic Information Estimation from Texts for Genuine Japanese End-to-End Text-to-Speech., , , and . Interspeech, page 126-130. ISCA, (2021)Neural Confnet Classification: Fully Neural Network Based Spoken Utterance Classification Using Word Confusion Networks., , , , and . ICASSP, page 6039-6043. IEEE, (2018)DNN-based Speech Synthesis Using Abundant Tags of Spontaneous Speech Corpus., , , , , , and . LREC, page 6438-6443. European Language Resources Association, (2020)