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Automatic Glottal Inverse Filtering with Non-Negative Matrix Factorization.

, , , and . INTERSPEECH, page 1039-1043. ISCA, (2016)

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End-to-End Amp Modeling: From Data to Controllable Guitar Amplifier Models., , , , , , and . CoRR, (2024)Data Augmentation Strategies for Neural Network F0 Estimation., , , and . ICASSP, page 6485-6489. IEEE, (2019)Speaking style adaptation in Text-To-Speech synthesis using Sequence-to-sequence models with attention., , and . CoRR, (2018)Waveform generation for text-to-speech synthesis using pitch-synchronous multi-scale generative adversarial networks., , , and . CoRR, (2018)Speaker-independent neural formant synthesis., , , and . INTERSPEECH, page 5556-5560. ISCA, (2023)GELP: GAN-Excited Linear Prediction for Speech Synthesis from Mel-Spectrogram., , , and . INTERSPEECH, page 694-698. ISCA, (2019)Exposure Bias and State Matching in Recurrent Neural Network Virtual Analog Models., , , , , , and . DAFx, page 284-291. IEEE, (2021)Deep neural network based trainable voice source model for synthesis of speech with varying vocal effort., , , , and . INTERSPEECH, page 1969-1973. ISCA, (2014)Speaking Style Conversion from Normal to Lombard Speech Using a Glottal Vocoder and Bayesian GMMs., , , , and . INTERSPEECH, page 1363-1367. ISCA, (2017)A Comparison of Recent Waveform Generation and Acoustic Modeling Methods for Neural-Network-Based Speech Synthesis., , , , and . ICASSP, page 4804-4808. IEEE, (2018)