SVSNet: An End-to-End Speaker Voice Similarity Assessment Model

Author:

Hu Cheng-Hung1ORCID,Peng Yu-Huai1,Yamagishi Junichi2ORCID,Tsao Yu3ORCID,Wang Hsin-Min1ORCID

Affiliation:

1. Institute of Information Science, Academia Sinica, Taipei, Taiwan

2. National Institute of Informatics, Chiyoda-ku, Tokyo, Japan

3. Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan

Funder

MOST

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Reference50 articles.

1. WaveNet: A generative model for raw audio;oord;Proc ISCA Speech Synth Workshop,0

2. Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-Resolution Spectrogram

3. Perceptual-Similarity-Aware Deep Speaker Representation Learning for Multi-Speaker Generative Modeling

4. Seq2Seq Attentional Siamese Neural Networks for Text-dependent Speaker Verification

5. Attention back-end for automatic speaker verification with multiple enrollment utterances;zeng;Proc IEEE Int Conf Acoust Speech Signal Process,0

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1. A review on subjective and objective evaluation of synthetic speech;Acoustical Science and Technology;2024-07-01

2. Deep Learning-Based Non-Intrusive Multi-Objective Speech Assessment Model With Cross-Domain Features;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023

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