Papers

A Fast and Lightweight Text-To-Speech Model with Spectrum and Waveform Alignment Algorithms

International Conference
2021~
작성자
한혜원
작성일
2021-08-30 11:05
조회
1652
Authors : Kihyuk Jeong, Huu-Kim Nguyen, Hong-Goo Kang

Year : 2021

Publisher / Conference : EUSIPCO

Research area : Speech Signal Processing, Text-to-Speech

In this paper, we propose a fast and lightweight text-to-speech (TTS) model that generates high-quality speech even in CPU-only environments. By leveraging the front-end architecture of FastSpeech2, we adopt an effective generative adversarial network (GAN) framework for waveform synthesis, which enables training the proposed model in a fully end-to-end manner. Since the waveform generator consists of smallsize convolutional networks, its inference speed is tremendously fast and the number of network parameters can be reduced by half compared to the FastSpeech2 model. However, the generated waveform segments are often not time-aligned with reference ones because of utilizing the predicted duration, which reduces the reliability of the discriminator module in the GAN framework. To solve the time mis-alignment problem, we propose a waveform alignment algorithm that synchronizes timing information between the reference and generated waveforms. In addition to the waveform aligning task, we include an auxiliary mel-spectrogram prediction task to further enhance perceptual quality. Since this task is only required for training, it does not increase the computational complexity during the inference stage. Objective and subjective experimental results show that the synthesized quality of the proposed model is comparable to that of conventional approaches.
전체 355
345 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
344 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
343 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
342 International Conference Hejung Yang, Hong-Goo Kang "Feature Normalization for Fine-tuning Self-Supervised Models in Speech Enhancement" in INTERSPEECH, 2023
341 International Conference Jihyun Kim, Hong-Goo Kang "Contrastive Learning based Deep Latent Masking for Music Source Seperation" in INTERSPEECH, 2023
340 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
339 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
338 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
337 International Conference Doyeon Kim, Soo-Whan Chung, Hyewon Han, Youna Ji, Hong-Goo Kang "HD-DEMUCS: General Speech Restoration with Heterogeneous Decoders" in INTERSPEECH, 2023
336 Domestic Conference Jihyun Lee, Wootaek Lim, Hong-Goo Kang "음성 압축에서의 심층 신경망 기반 장구간 예측" in 한국방송·미디어공학회 2023년 하계학술대회, 2023