Enhancing Kurdish Text-to-Speech with Native Corpus Training: A
High-Quality WaveGlow Vocoder Approach

v1v2 (latest)

Enhancing Kurdish Text-to-Speech with Native Corpus Training: A High-Quality WaveGlow Vocoder Approach

10 September 2024

Abdulhady Abas Abdullah

Sabat Salih Muhamad

ArXiv (abs)PDF HTML

Papers citing "Enhancing Kurdish Text-to-Speech with Native Corpus Training: A High-Quality WaveGlow Vocoder Approach"

7 / 7 papers shown

Title
Towards Building Text-To-Speech Systems for the Next Billion Users Gokul Karthik Kumar V. PraveenS. Pratyush Kumar Mitesh M. Khapra Karthik Nandakumar 73 21 0 17 Nov 2022
NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality Xu Tan Jiawei Chen Haohe Liu Jian Cong Chen Zhang ... Lei He Frank Soong Tao Qin Sheng Zhao Tie-Yan Liu 111 221 0 09 May 2022
StyleMelGAN: An Efficient High-Fidelity Adversarial Vocoder with Temporal Adaptive Normalization Ahmed Mustafa N. Pia Guillaume Fuchs 76 73 0 03 Nov 2020
Ultrasound-based Articulatory-to-Acoustic Mapping with WaveGlow Speech Synthesis Tamás Gábor Csapó Csaba Zainkó L. Tóth G. Gosztolya Alexandra Markó 42 33 0 06 Aug 2020
WaveFlow: A Compact Flow-based Model for Raw Audio Ming-Yu Liu Kainan Peng Kexin Zhao Z. Song 87 117 0 03 Dec 2019
WaveGlow: A Flow-based Generative Network for Speech Synthesis R. Prenger Rafael Valle Bryan Catanzaro 155 1,036 0 31 Oct 2018
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions Jonathan Shen Ruoming Pang Ron J. Weiss M. Schuster Navdeep Jaitly ... Yuxuan Wang RJ Skerry-Ryan Rif A. Saurous Yannis Agiomyrgiannakis Yonghui Wu 85 2,704 0 16 Dec 2017