3 papers
eess.AS2025
SLASH: Self-Supervised Speech Pitch Estimation Leveraging DSP-derived Absolute Pitch
Ryo Terashima, Yuma Shirahata, Masaya Kawamura
We present SLASH, a pitch estimation method of speech signals based on self-supervised learning (SSL). To enhance the performance of conventional SSL-based approaches that primaril…
cs.SD2025
Comparative Analysis of Fast and High-Fidelity Neural Vocoders for Low-Latency Streaming Synthesis in Resource-Constrained Environments
Reo Yoneyama, Masaya Kawamura, Ryo Terashima +2
In real-time speech synthesis, neural vocoders often require low-latency synthesis through causal processing and streaming. However, streaming introduces inefficiencies absent in b…
eess.AS2024
Song Data Cleansing for End-to-End Neural Singer Diarization Using Neural Analysis and Synthesis Framework
Hokuto Munakata, Ryo Terashima, Yusuke Fujita
We propose a data cleansing method that utilizes a neural analysis and synthesis (NANSY++) framework to train an end-to-end neural diarization model (EEND) for singer diarization.…