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20212026
most citedAn Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era

83 citations · 166 across the 57 of their papers we have counts for

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Showing 2022Show all

11 papers · 1 filter

cs.SD2022

Emotion Selectable End-to-End Text-based Speech Editing

Tao Wang, Jiangyan Yi, Ruibo Fu +3

Text-based speech editing allows users to edit speech by intuitively cutting, copying, and pasting text to speed up the process of editing speech. In the previous work, CampNet (co…

cs.SD2022

SceneFake: An Initial Dataset and Benchmarks for Scene Fake Audio Detection

Jiangyan Yi, Chenglong Wang, Jianhua Tao +5

Many datasets have been designed to further the development of fake audio detection. However, fake utterances in previous datasets are mostly generated by altering timbre, prosody,…

cs.SD2022

Text Enhancement for Paragraph Processing in End-to-End Code-switching TTS

Chunyu Qiang, Jianhua Tao, Ruibo Fu +4

Current end-to-end code-switching Text-to-Speech (TTS) can already generate high quality two languages speech in the same utterance with single speaker bilingual corpora. When the…

cs.SD2022★ 83 cited

An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era

Andreas Triantafyllopoulos, Björn W. Schuller, Gökçe İymen +9

Speech is the fundamental mode of human communication, and its synthesis has long been a core priority in human-computer interaction research. In recent years, machines have manage…

cs.SD2022★ 28 cited

An Initial Investigation for Detecting Vocoder Fingerprints of Fake Audio

Xinrui Yan, Jiangyan Yi, Jianhua Tao +5

Many effective attempts have been made for fake audio detection. However, they can only provide detection results but no countermeasures to curb this harm. For many related practic…

cs.SD2022

Fully Automated End-to-End Fake Audio Detection

Chenglong Wang, Jiangyan Yi, Jianhua Tao +6

The existing fake audio detection systems often rely on expert experience to design the acoustic features or manually design the hyperparameters of the network structure. However,…

cs.SD2022★ 2 cited

CFAD: A Chinese Dataset for Fake Audio Detection

Haoxin Ma, Jiangyan Yi, Chenglong Wang +5

Fake audio detection is a growing concern and some relevant datasets have been designed for research. However, there is no standard public Chinese dataset under complex conditions.…

cs.SD2022

CampNet: Context-Aware Mask Prediction for End-to-End Text-Based Speech Editing

Tao Wang, Jiangyan Yi, Ruibo Fu +2

The text-based speech editor allows the editing of speech through intuitive cutting, copying, and pasting operations to speed up the process of editing speech. However, the major d…

cs.SD2022★ 2 cited

NeuralDPS: Neural Deterministic Plus Stochastic Model with Multiband Excitation for Noise-Controllable Waveform Generation

Tao Wang, Ruibo Fu, Jiangyan Yi +2

The traditional vocoders have the advantages of high synthesis efficiency, strong interpretability, and speech editability, while the neural vocoders have the advantage of high syn…

cs.SD2022★ 3 cited

Singing-Tacotron: Global duration control attention and dynamic filter for End-to-end singing voice synthesis

Tao Wang, Ruibo Fu, Jiangyan Yi +2

End-to-end singing voice synthesis (SVS) is attractive due to the avoidance of pre-aligned data. However, the auto learned alignment of singing voice with lyrics is difficult to ma…

cs.SD2022★ 1 cited

ADD 2022: the First Audio Deep Synthesis Detection Challenge

Jiangyan Yi, Ruibo Fu, Jianhua Tao +17

Audio deepfake detection is an emerging topic, which was included in the ASVspoof 2021. However, the recent shared tasks have not covered many real-life and challenging scenarios.…