output
19942026
most citedVariational Quantum Algorithms

3.3k citations

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18 papers · 1 filter

cs.SD2024★ 2 cited

Speech Rhythm-Based Speaker Embeddings Extraction from Phonemes and Phoneme Duration for Multi-Speaker Speech Synthesis

Kenichi Fujita, Atsushi Ando, Yusuke Ijima

This paper proposes a speech rhythm-based method for speaker embeddings to model phoneme duration using a few utterances by the target speaker. Speech rhythm is one of the essentia…

cs.SD2023★ 9 cited

Zero-shot text-to-speech synthesis conditioned using self-supervised speech representation model

Kenichi Fujita, Takanori Ashihara, Hiroki Kanagawa +2

This paper proposes a zero-shot text-to-speech (TTS) conditioned by a self-supervised speech-representation model acquired through self-supervised learning (SSL). Conventional meth…

cs.SD2022★ 2 cited

Speak Like a Dog: Human to Non-human creature Voice Conversion

Kohei Suzuki, Shoki Sakamoto, Tadahiro Taniguchi +1

This paper proposes a new voice conversion (VC) task from human speech to dog-like speech while preserving linguistic information as an example of human to non-human creature voice…

cs.SD2022★ 2 cited

Effective data screening technique for crowdsourced speech intelligibility experiments: Evaluation with IRM-based speech enhancement

Ayako Yamamoto, Toshio Irino, Shoko Araki +4

It is essential to perform speech intelligibility (SI) experiments with human listeners in order to evaluate objective intelligibility measures for developing effective speech enha…

cs.SD2021★ 5 cited

StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition

Shoki Sakamoto, Akira Taniguchi, Tadahiro Taniguchi +1

Preserving the linguistic content of input speech is essential during voice conversion (VC). The star generative adversarial network-based VC method (StarGAN-VC) is a recently deve…

cs.SD2021

Audio-Visual Speech Separation Using Cross-Modal Correspondence Loss

Naoki Makishima, Mana Ihori, Akihiko Takashima +3

We present an audio-visual speech separation learning method that considers the correspondence between the separated signals and the visual signals to reflect the speech characteri…