Papers

Source-Filter based Full-band Adaptive Harmonic Model and Its Application to Speech Prosody Modification

International Conference
2011~2015
작성자
한혜원
작성일
2013-08-25 00:21
조회
851
Authors : JeeSok Lee, Frank Soong, Hong-Goo Kang

Year : 2013

Publisher / Conference : INTERSPEECH

This paper presents a source-filter based adaptive harmonic model (aHM) that can modify prosody of given speech signals. Although the conventional aHM generates a homogeneous replication of the input speech, it is not suitable for prosody modification since temporal and spectral information are interweaved. The proposed method overcomes such limitation by further decomposing the harmonic parameter extracted from aHM into source and filter related components. By applying source-filter structure to aHM, the proposed algorithm can modify pitch of the synthesized speech with introducing only minor degradation. Both objective and subjective test results show that the proposed algorithm can naturally manipulate pitch contour, of which performance is much better than conventional algorithms such as pitch synchronous overlap add (PSOLA) and speech transformation and representation using adaptive interpolation of weighted spectrum (STRAIGHT). Index Terms: Prosody modification, pitch modification, speech analysis, speech synthesis, harmonic model.
전체 344
344 International Journal Zhenyu Piao, Hyungseob Lim, Miseul Kim, Hong-goo Kang "PDF-NET: Pitch-adaptive Dynamic Filter Network for Intra-gender Speaker Verification" in APSIPA ASC, 2023
343 International Conference WooSeok Ko, Seyun Um, Zhenyu Piao, Hong-goo Kang "Consideration of Varying Training Lengths for Short-Duration Speaker Verification" in APSIP ASC, 2023
342 International Journal Hyungchan Yoon, Changhwan Kim, Seyun Um, Hyun-Wook Yoon, Hong-Goo Kang "SC-CNN: Effective Speaker Conditioning Method for Zero-Shot Multi-Speaker Text-to-Speech Systems" in IEEE Signal Processing Letters, vol.30, pp.593-597, 2023
341 International Conference Miseul Kim, Zhenyu Piao, Jihyun Lee, Hong-Goo Kang "BrainTalker: Low-Resource Brain-to-Speech Synthesis with Transfer Learning using Wav2Vec 2.0" in The IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2023
340 International Conference Seyun Um, Jihyun Kim, Jihyun Lee, Hong-Goo Kang "Facetron: A Multi-speaker Face-to-Speech Model based on Cross-Modal Latent Representations" in EUSIPCO, 2023
339 International Conference Hejung Yang, Hong-Goo Kang "Feature Normalization for Fine-tuning Self-Supervised Models in Speech Enhancement" in INTERSPEECH, 2023
338 International Conference Jihyun Kim, Hong-Goo Kang "Contrastive Learning based Deep Latent Masking for Music Source Seperation" in INTERSPEECH, 2023
337 International Conference Woo-Jin Chung, Doyeon Kim, Soo-Whan Chung, Hong-Goo Kang "MF-PAM: Accurate Pitch Estimation through Periodicity Analysis and Multi-level Feature Fusion" in INTERSPEECH, 2023
336 International Conference Hyungchan Yoon, Seyun Um, Changhwan Kim, Hong-Goo Kang "Adversarial Learning of Intermediate Acoustic Feature for End-to-End Lightweight Text-to-Speech" in INTERSPEECH, 2023
335 International Conference Hyungchan Yoon, Changhwan Kim, Eunwoo Song, Hyun-Wook Yoon, Hong-Goo Kang "Pruning Self-Attention for Zero-Shot Multi-Speaker Text-to-Speech" in INTERSPEECH, 2023