26 citations · 110 across the 20 of their papers we have counts for
8 papers · 1 filter
Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo Conversion
Rui Liu, Jinhua Zhang, Guanglai Gao +1
Audio Deepfake Detection (ADD) aims to detect the fake audio generated by text-to-speech (TTS), voice conversion (VC) and replay, etc., which is an emerging topic. Traditionally we…
Explicit Intensity Control for Accented Text-to-speech
Rui Liu, Haolin Zuo, De Hu +2
Accented text-to-speech (TTS) synthesis seeks to generate speech with an accent (L2) as a variant of the standard version (L1). How to control the intensity of accent in the proces…
MnTTS: An Open-Source Mongolian Text-to-Speech Synthesis Dataset and Accompanied Baseline
Yifan Hu, Pengkai Yin, Rui Liu +2
This paper introduces a high-quality open-source text-to-speech (TTS) synthesis dataset for Mongolian, a low-resource language spoken by over 10 million people worldwide. The datas…
Controllable Accented Text-to-Speech Synthesis
Rui Liu, Berrak Sisman, Guanglai Gao +1
Accented text-to-speech (TTS) synthesis seeks to generate speech with an accent (L2) as a variant of the standard version (L1). Accented TTS synthesis is challenging as L2 is diffe…
Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep Learning
Rui Liu, Berrak Sisman, Björn Schuller +2
Emotion classification of speech and assessment of the emotion strength are required in applications such as emotional text-to-speech and voice conversion. The emotion attribute ra…
Guided Training: A Simple Method for Single-channel Speaker Separation
Hao Li, Xueliang Zhang, Guanglai Gao
Deep learning has shown a great potential for speech separation, especially for speech and non-speech separation. However, it encounters permutation problem for multi-speaker separ…
Expressive TTS Training with Frame and Style Reconstruction Loss
Rui Liu, Berrak Sisman, Guanglai Gao +1
We propose a novel training strategy for Tacotron-based text-to-speech (TTS) system to improve the expressiveness of speech. One of the key challenges in prosody modeling is the la…
Integrated Speech Enhancement Method Based on Weighted Prediction Error and DNN for Dereverberation and Denoising
Hao Li, Xueliang Zhang, Hui Zhang +1
Both reverberation and additive noises degrade the speech quality and intelligibility. Weighted prediction error (WPE) method performs well on the dereverberation but with limitati…