25 citations · 46 across the 3 of their papers we have counts for
3 papers
eess.AS2025
MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder
Bowen Zhang, Congchao Guo, Geng Yang +17
We introduce MiniMax-Speech, an autoregressive Transformer-based Text-to-Speech (TTS) model that generates high-quality speech. A key innovation is our learnable speaker encoder, w…
eess.AS2020★ 25 cited
Channel-wise Subband Input for Better Voice and Accompaniment Separation on High Resolution Music
Haohe Liu, Lei Xie, Jian Wu +1
This paper presents a new input format, channel-wise subband input (CWS), for convolutional neural networks (CNN) based music source separation (MSS) models in the frequency domain…
cs.SD2020★ 21 cited
Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech
Geng Yang, Shan Yang, Kai Liu +3
In this paper, we propose multi-band MelGAN, a much faster waveform generation model targeting to high-quality text-to-speech. Specifically, we improve the original MelGAN by the f…