2 citations · 3 across the 5 of their papers we have counts for
5 papers
Release of Pre-Trained Models for the Japanese Language
Kei Sawada, Tianyu Zhao, Makoto Shing +5
AI democratization aims to create a world in which the average person can utilize AI techniques. To achieve this goal, numerous research institutes have attempted to make their res…
PeriodGrad: Towards Pitch-Controllable Neural Vocoder Based on a Diffusion Probabilistic Model
Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku +1
This paper presents a neural vocoder based on a denoising diffusion probabilistic model (DDPM) incorporating explicit periodic signals as auxiliary conditioning signals. Recently,…
Towards human-like spoken dialogue generation between AI agents from written dialogue
Kentaro Mitsui, Yukiya Hono, Kei Sawada
The advent of large language models (LLMs) has made it possible to generate natural written dialogues between two agents. However, generating human-like spoken dialogues from these…
Singing voice synthesis based on frame-level sequence-to-sequence models considering vocal timing deviation
Miku Nishihara, Yukiya Hono, Kei Hashimoto +2
This paper proposes singing voice synthesis (SVS) based on frame-level sequence-to-sequence models considering vocal timing deviation. In SVS, it is essential to synchronize the ti…
UniFLG: Unified Facial Landmark Generator from Text or Speech
Kentaro Mitsui, Yukiya Hono, Kei Sawada
Talking face generation has been extensively investigated owing to its wide applicability. The two primary frameworks used for talking face generation comprise a text-driven framew…