Papers

Fast and Lightweight Speech Synthesis Model based on FastSpeech2

International Conference
2021~
작성자
한혜원
작성일
2021-06-28 10:28
조회
482
Authors : Huu-Kim Nguyen, Kihyuk Jeong, Hong-Goo Kang

Year : 2021

Publisher / Conference : ITC-CSCC

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

Presentation : 구두

In this paper, we present a fast and lightweight speech synthesis model that is suitable for on-device applications. By leveraging the techniques of long-short range attention, depth-wise separable convolution, and linear attention, we significantly reduce the model size and complexity of the baseline FastSpeech2-based Transformer framework. Unlike the baseline model that requires O(N^2) to compute attention and convolution operations because of nested-loop computations, our proposed model only requires O(N) computations due to the modification of a nested-loop into two cascaded single loops.
전체 322
312 International Conference Huu-Kim Nguyen, Kihyuk Jeong, Hong-Goo Kang "Fast and Lightweight Speech Synthesis Model based on FastSpeech2" in ITC-CSCC, 2021
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310 International Conference You Jin Kim, Hee Soo Heo, Soo-Whan Chung, Bong-Jin Lee "End-to-end Lip Synchronisation Based on Pattern Classification" in IEEE Spoken Language Technology Workshop (SLT), 2020
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306 International Conference Min-Jae Hwang, Frank Soong, Eunwoo Song, Xi Wang, Hyeonjoo Kang, Hong-Goo Kang "LP-WaveNet: Linear Prediction-based WaveNet Speech Synthesis" in APSIPA, 2020
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304 International Conference Soo-Whan Chung, Soyeon Choe, Joon Son Chung, Hong-Goo Kang "FaceFilter: Audio-visual speech separation using still images" in INTERSPEECH (*awarded Best Student Paper), 2020
303 International Conference Soo-Whan Chung, Hong-Goo Kang, Joon Son Chung "Seeing Voices and Hearing Voices: Learning Discriminative Embeddings Using Cross-Modal Self-Supervision" in INTERSPEECH, 2020