Vector Quantization of Speech Spectrum Based on the VQ-VAE Embedding Space Learning by GAN Technique

By Tanasan Srikotr, K. Mano. 2022

5 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Xu Tan
2. Lei He
3. Sheng Zhao
4. Yanqing Liu
5. Tao Qin
6. Tie-Yan Liu
7. Rui Xue
8. Frank K. Soong

In Signal Processing

1. Xu Tan
2. Lei He
3. Sheng Zhao
4. Yanqing Liu
5. Tao Qin
6. Rui Xue
7. Tie-Yan Liu
8. Yi Ren

Citations in the corpus

• DelightfulTTS 2: End-to-End Speech Synthesis with Adversarial Vector-Quantized Auto-Encoders (2022, background): “Lvq is vector quantization loss [22] for all vector quantizers.”