Papers

Speak in the Scene: Diffusion-based Acoustic Scene Transfer toward Immersive Speech Generation

International Conference
2021~
작성자
dsp
작성일
2024-06-14 14:37
조회
1251
Authors : Miseul Kim, Soo-Whan Chung, Youna Ji, Hong-Goo Kang, Min-Seok Choi

Year : 2024

Publisher / Conference : INTERSPEECH

Research area : Speech Signal Processing, Speech Synthesis, Audio-Visual

Presentation/Publication date : 2024.09.05

Presentation : Poster

This paper introduces a novel task in generative speech processing, Acoustic Scene Transfer (AST), which aims to transfer acoustic scenes of speech signals to diverse environments. AST promises an immersive experience in speech perception by adapting the acoustic scene behind speech signals to desired environments. We propose AST-LDM for the AST task, which generates speech signals accompanied by the target acoustic scene of the reference prompt. Specifically, AST-LDM is a latent diffusion model conditioned by CLAP embeddings that describe target acoustic scenes in either audio or text modalities. The contributions of this paper include introducing the AST task and implementing its baseline model. For AST-LDM, we emphasize its core framework, which is to preserve the input speech and generate audio consistently with both the given speech and the target acoustic environment. Experiments, including objective and subjective tests, validate the feasibility and efficacy of our approach.
전체 368
368 International Journal Hyewon Han, Xiulian Peng, Doyeon Kim, Yan Lu, Hong-Goo Kang "Dual-Branch Guidance Encoder for Robust Acoustic Echo Suppression" in IEEE Transactions on Audio, Speech and Language Processing, 2024
367 International Journal Hyungseob Lim, Jihyun Lee, Byeong Hyeon Kim, Inseon Jang, Hong-Goo Kang "Perceptual Neural Audio Coding with Modified Discrete Cosine Transform" in IEEE Journal of Special Topics in Signal Processing (JSTSP), 2025
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