26 citations · 107 across the 24 of their papers we have counts for
8 papers · 1 filter
MnTTS2: An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset
Kailin Liang, Bin Liu, Yifan Hu +3
Text-to-Speech (TTS) synthesis for low-resource languages is an attractive research issue in academia and industry nowadays. Mongolian is the official language of the Inner Mongoli…
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…
FCTalker: Fine and Coarse Grained Context Modeling for Expressive Conversational Speech Synthesis
Yifan Hu, Rui Liu, Guanglai Gao +1
Conversational Text-to-Speech (TTS) aims to synthesis an utterance with the right linguistic and affective prosody in a conversational context. The correlation between the current…
Exploiting modality-invariant feature for robust multimodal emotion recognition with missing modalities
Haolin Zuo, Rui Liu, Jinming Zhao +2
Multimodal emotion recognition leverages complementary information across modalities to gain performance. However, we cannot guarantee that the data of all modalities are always pr…
A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion
Muhan Na, Rui Liu, Feilong +1
Cyrillic and Traditional Mongolian are the two main members of the Mongolian writing system. The Cyrillic-Traditional Mongolian Bidirectional Conversion (CTMBC) task includes two c…
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…