3 citations · 5 across the 11 of their papers we have counts for
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Exploring Pre-training Benefits on Phoneme Addition through Fine-tuning in Speech Synthesis
Masato Murata, Koichi Miyazaki, Tomoki Koriyama +1
Transfer learning is widely used for low-resource text-to-speech. When the target corpus contains phonemes unseen in pre-training, the model must expand its phoneme inventory durin…
Instantaneous Pitch Estimation via Wave-U-Net-Based Fundamental Waveform Enhancement
Junya Koguchi, Tomoki Koriyama
Instantaneous pitch estimation plays an important role in analyzing steep pitch variations such as speech prosody and singing techniques. Conventional approaches estimate instantan…
Voting-based Pitch Estimation with Temporal and Frequential Alignment and Correlation Aware Selection
Junya Koguchi, Tomoki Koriyama
The voting method, an ensemble approach for fundamental frequency estimation, is empirically known for its robustness but lacks thorough investigation. This paper provides a princi…
Speaker-agnostic Emotion Vector for Cross-speaker Emotion Intensity Control
Masato Murata, Koichi Miyazaki, Tomoki Koriyama
Cross-speaker emotion intensity control aims to generate emotional speech of a target speaker with desired emotion intensities using only their neutral speech. A recently proposed…
Eigenvoice Synthesis based on Model Editing for Speaker Generation
Masato Murata, Koichi Miyazaki, Tomoki Koriyama +1
Speaker generation task aims to create unseen speaker voice without reference speech. The key to the task is defining a speaker space that represents diverse speakers to determine…
An Attribute Interpolation Method in Speech Synthesis by Model Merging
Masato Murata, Koichi Miyazaki, Tomoki Koriyama
With the development of speech synthesis, recent research has focused on challenging tasks, such as speaker generation and emotion intensity control. Attribute interpolation is a c…