Energy and data cooperation in energy harvesting multiple access channel. - Berk Gurakan; Berrak Sisman; Onur Kaya; Sennur Ulukus (WCNC Workshops, 2016)

Transformation of prosody in voice conversion. - Berrak Sisman; Haizhou Li 001; Kay Chen Tan (APSIPA, 2017)

Sparse representation of phonetic features for voice conversion with and without parallel data. - Berrak Sisman; Haizhou Li 001; Kay Chen Tan (ASRU, 2017)

On the analysis and evaluation of prosody conversion techniques. - Berrak Sisman; Grandee Lee; Haizhou Li 001; Kay Chen Tan (IALP, 2017)

Error Reduction Network for DBLSTM-based Voice Conversion. - Mingyang Zhang 003; Berrak Sisman; Sai Sirisha Rallabandi; Haizhou Li 001; Li Zhao 003 (APSIPA, 2018)

The I2R-NWPU-NUS Text-to-Speech System for Blizzard Challenge 2018. - Jinba Xiao; Shan Yang; Mingyang Zhang 003; Berrak Sisman; Dongyan Huang; Lei Xie 001; Minghui Dong; Haizhou Li 001 (Blizzard Challenge, 2018)

Wavelet Analysis of Speaker Dependent and Independent Prosody for Voice Conversion. - Berrak Sisman; Haizhou Li 001 (INTERSPEECH, 2018)

A Voice Conversion Framework with Tandem Feature Sparse Representation and Speaker-Adapted WaveNet Vocoder. - Berrak Sisman; Mingyang Zhang 003; Haizhou Li 001 (INTERSPEECH, 2018)

Phonetically Aware Exemplar-Based Prosody Transformation. - Berrak Sisman; Grandee Lee; Haizhou Li 001 (Odyssey, 2018)

Adaptive Wavenet Vocoder for Residual Compensation in GAN-Based Voice Conversion. - Berrak Sisman; Mingyang Zhang 003; Sakriani Sakti; Haizhou Li 001; Satoshi Nakamura 001 (SLT, 2018)

SINGAN: Singing Voice Conversion with Generative Adversarial Networks. - Berrak Sisman; Karthika Vijayan; Minghui Dong; Haizhou Li 001 (APSIPA, 2019)

On the Study of Generative Adversarial Networks for Cross-Lingual Voice Conversion. - Berrak Sisman; Mingyang Zhang 003; Minghui Dong; Haizhou Li 001 (ASRU, 2019)

VQVAE Unsupervised Unit Discovery and Multi-Scale Code2Spec Inverter for Zerospeech Challenge 2019. - Andros Tjandra; Berrak Sisman; Mingyang Zhang 003; Sakriani Sakti; Haizhou Li 001; Satoshi Nakamura 001 (INTERSPEECH, 2019)

Group Sparse Representation With WaveNet Vocoder Adaptation for Spectrum and Prosody Conversion. - Berrak Sisman; Mingyang Zhang 003; Haizhou Li 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Spectrum and Prosody Conversion for Cross-lingual Voice Conversion with CycleGAN. - Zongyang Du; Kun Zhou 003; Berrak Sisman; Haizhou Li 001 (APSIPA, 2020)

VAW-GAN for Singing Voice Conversion with Non-parallel Training Data. - Junchen Lu; Kun Zhou 003; Berrak Sisman; Haizhou Li 001 (APSIPA, 2020)

NUS-HLT System for Blizzard Challenge 2020. - Yi Zhou 020; Xiaohai Tian; Xuehao Zhou; Mingyang Zhang 003; Grandee Lee; Riu Liu; Berrak Sisman; Haizhou Li 001 (Blizzard Challenge / Voice Conversion Challenge, 2020)

The NUS & NWPU system for Voice Conversion Challenge 2020. - Xiaohai Tian; Zhichao Wang 002; Shan Yang; Xinyong Zhou; Hongqiang Du; Yi Zhou 020; Mingyang Zhang 003; Kun Zhou 003; Berrak Sisman; Lei Xie 001; Haizhou Li 001 (Blizzard Challenge / Voice Conversion Challenge, 2020)

Teacher-Student Training For Robust Tacotron-Based TTS. - Rui Liu 008; Berrak Sisman; Jingdong Li; Feilong Bao; Guanglai Gao; Haizhou Li 001 (ICASSP, 2020)

Converting Anyone's Emotion: Towards Speaker-Independent Emotional Voice Conversion. - Kun Zhou 003; Berrak Sisman; Mingyang Zhang 003; Haizhou Li 001 (INTERSPEECH, 2020)

WaveTTS: Tacotron-based TTS with Joint Time-Frequency Domain Loss. - Rui Liu 008; Berrak Sisman; Feilong Bao; Guanglai Gao; Haizhou Li 001 (Odyssey, 2020)

Generative Adversarial Networks for Singing Voice Conversion with and without Parallel Data. - Berrak Sisman; Haizhou Li 001 (Odyssey, 2020)

Transforming Spectrum and Prosody for Emotional Voice Conversion with Non-Parallel Training Data. - Kun Zhou 003; Berrak Sisman; Haizhou Li 001 (Odyssey, 2020)

DeepConversion: Voice conversion with limited parallel training data. - Mingyang Zhang 003; Berrak Sisman; Li Zhao 003; Haizhou Li 001 (Speech Commun., 2020)

Modeling Prosodic Phrasing With Multi-Task Learning in Tacotron-Based TTS. - Rui Liu 008; Berrak Sisman; Feilong Bao; Guanglai Gao; Haizhou Li 001 (IEEE Signal Process. Lett., 2020)

Expressive Voice Conversion: A Joint Framework for Speaker Identity and Emotional Style Transfer. - Zongyang Du; Berrak Sisman; Kun Zhou 003; Haizhou Li 001 (ASRU, 2021)

DEEPA: A Deep Neural Analyzer for Speech and Singing Vocoding. - Sergey Nikonorov; Berrak Sisman; Mingyang Zhang 003; Haizhou Li 001 (ASRU, 2021)

SUTD-NUS System for Blizzard Challenge 2021. - Mingyang Zhang 003; Xuehao Zhou; Kun Zhou 003; Rui Liu 008; Perry Lam; Berrak Sisman; Haizhou Li 001 (Blizzard Challenge, 2021)

Graphspeech: Syntax-Aware Graph Attention Network for Neural Speech Synthesis. - Rui Liu 008; Berrak Sisman; Haizhou Li 001 (ICASSP, 2021)

Seen and Unseen Emotional Style Transfer for Voice Conversion with A New Emotional Speech Dataset. - Kun Zhou 003; Berrak Sisman; Rui Liu 008; Haizhou Li 001 (ICASSP, 2021)

Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability. - Rui Liu 008; Berrak Sisman; Haizhou Li 001 (Interspeech, 2021)

Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-Stage Sequence-to-Sequence Training. - Kun Zhou 003; Berrak Sisman; Haizhou Li 001 (Interspeech, 2021)

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue. - Haizhou Li 001; Gina-Anne Levow; Zhou Yu; Chitralekha Gupta; Berrak Sisman; Siqi Cai 002; David Vandyke; Nina Dethlefs; Yan Wu 002; Junyi Jessy Li (SIGDIAL, 2021)

Vaw-Gan For Disentanglement And Recomposition Of Emotional Elements In Speech. - Kun Zhou 003; Berrak Sisman; Haizhou Li 001 (SLT, 2021)

StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis. - Rui Liu 008; Berrak Sisman; Haizhou Li 001 (CoRR, 2021)

Identity Conversion for Emotional Speakers: A Study for Disentanglement of Emotion Style and Speaker Identity. - Zongyang Du; Berrak Sisman; Kun Zhou 003; Haizhou Li 001 (CoRR, 2021)

FastTalker: A neural text-to-speech architecture with shallow and group autoregression. - Rui Liu 008; Berrak Sisman; Yixing Lin; Haizhou Li 001 (Neural Networks, 2021)

Exploiting Morphological and Phonological Features to Improve Prosodic Phrasing for Mongolian Speech Synthesis. - Rui Liu 008; Berrak Sisman; Feilong Bao; Jichen Yang; Guanglai Gao; Haizhou Li 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Expressive TTS Training With Frame and Style Reconstruction Loss. - Rui Liu 008; Berrak Sisman; Guanglai Gao; Haizhou Li 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

An Overview of Voice Conversion and Its Challenges: From Statistical Modeling to Deep Learning. - Berrak Sisman; Junichi Yamagishi; Simon King 001; Haizhou Li 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Visualtts: TTS with Accurate Lip-Speech Synchronization for Automatic Voice Over. - Junchen Lu; Berrak Sisman; Rui Liu 008; Mingyang Zhang 003; Haizhou Li 001 (ICASSP, 2022)

Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep Learning. - Rui Liu 008; Berrak Sisman; Björn W. Schuller; Guanglai Gao; Haizhou Li 001 (INTERSPEECH, 2022)

Disentanglement of Emotional Style and Speaker Identity for Expressive Voice Conversion. - Zongyang Du; Berrak Sisman; Kun Zhou 003; Haizhou Li 001 (INTERSPEECH, 2022)

EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models. - Perry Lam; Huayun Zhang; Nancy F. Chen; Berrak Sisman (INTERSPEECH, 2022)

Learning Accent Representation with Multi-Level VAE Towards Controllable Speech Synthesis. - Jan Melechovský; Ambuj Mehrish; Dorien Herremans; Berrak Sisman (SLT, 2022)

Controllable Accented Text-to-Speech Synthesis. - Rui Liu 008; Berrak Sisman; Guanglai Gao; Haizhou Li 001 (CoRR, 2022)

Mixed Emotion Modelling for Emotional Voice Conversion. - Kun Zhou 003; Berrak Sisman; Carlos Busso; Haizhou Li 001 (CoRR, 2022)

SNIPER Training: Variable Sparsity Rate Training For Text-To-Speech. - Perry Lam; Huayun Zhang; Nancy F. Chen; Berrak Sisman; Dorien Herremans (CoRR, 2022)

Emotional voice conversion: Theory, databases and ESD. - Kun Zhou 003; Berrak Sisman; Rui Liu 008; Haizhou Li 001 (Speech Commun., 2022)

Decoding Knowledge Transfer for Neural Text-to-Speech Training. - Rui Liu 008; Berrak Sisman; Guanglai Gao; Haizhou Li 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

SlothSpeech: Denial-of-service Attack Against Speech Recognition Models. - Mirazul Haque; Rutvij Shah; Simin Chen; Berrak Sisman; Cong Liu 005; Wei Yang 013 (INTERSPEECH, 2023)

High-Quality Automatic Voice Over with Accurate Alignment: Supervision through Self-Supervised Discrete Speech Units. - Junchen Lu; Berrak Sisman; Mingyang Zhang 003; Haizhou Li 001 (INTERSPEECH, 2023)

Versatile Audio-Visual Learning for Handling Single and Multi Modalities in Emotion Regression and Classification Tasks. - Lucas Goncalves; Seong-Gyun Leem; Wei-Cheng Lin; Berrak Sisman; Carlos Busso (CoRR, 2023)

Improving Speech Emotion Recognition Performance using Differentiable Architecture Search. - Thejan Rajapakshe; Rajib Rana; Sara Khalifa; Berrak Sisman; Björn W. Schuller (CoRR, 2023)

Emotion Intensity and its Control for Emotional Voice Conversion. - Kun Zhou 003; Berrak Sisman; Rajib Rana; Björn W. Schuller; Haizhou Li 001 (IEEE Trans. Affect. Comput., 2023)

Speech Synthesis With Mixed Emotions. - Kun Zhou 003; Berrak Sisman; Rajib Rana; Björn W. Schuller; Haizhou Li 001 (IEEE Trans. Affect. Comput., 2023)

Enhanced Facial Landmarks Detection for Patients with Repaired Cleft Lip and Palate. - Karen Rosero; Ali N. Salman; Berrak Sisman; Rami R. Hallac; Carlos Busso (FG, 2024)

Revealing Emotional Clusters in Speaker Embeddings: A Contrastive Learning Strategy for Speech Emotion Recognition. - Ismail Rasim Ulgen; Zongyang Du; Carlos Busso; Berrak Sisman (ICASSP, 2024)

Unsupervised Domain Adaptation for Speech Emotion Recognition using K-Nearest Neighbors Voice Conversion. - Pravin Mote; Berrak Sisman; Carlos Busso (INTERSPEECH, 2024)

Towards Naturalistic Voice Conversion: NaturalVoices Dataset with an Automatic Processing Pipeline. - Ali N. Salman; Zongyang Du; Shreeram Suresh Chandra; Ismail Rasim Ülgen; Carlos Busso; Berrak Sisman (INTERSPEECH, 2024)

Mixed-EVC: Mixed Emotion Synthesis and Control in Voice Conversion. - Kun Zhou 003; Berrak Sisman; Carlos Busso; Bin Ma 001; Haizhou Li 001 (Odyssey, 2024)

Exploring speech style spaces with language models: Emotional TTS without emotion labels. - Shreeram Suresh Chandra; Zongyang Du; Berrak Sisman (Odyssey, 2024)

Converting Anyone's Voice: End-to-End Expressive Voice Conversion with A Conditional Diffusion Model. - Zongyang Du; Junchen Lu; Kun Zhou 003; Lakshmish Kaushik; Berrak Sisman (Odyssey, 2024)

Odyssey 2024 - Speech Emotion Recognition Challenge: Dataset, Baseline Framework, and Results. - Lucas Goncalves; Ali N. Salman; Abinay Reddy Naini; Laureano Moro-Velázquez; Thomas Thebaud; Paola García 001; Najim Dehak; Berrak Sisman; Carlos Busso (Odyssey, 2024)

Discrete Unit Based Masking For Improving Disentanglement in Voice Conversion. - Philip H. Lee; Ismail Rasim Ulgen; Berrak Sisman (SLT, 2024)

SNIPER Training: Single-Shot Sparse Training for Text-to-Speech. - Perry Lam; Huayun Zhang; Nancy F. Chen; Berrak Sisman; Dorien Herremans (TENCON, 2024)

Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder. - Jan Melechovský; Ambuj Mehrish; Berrak Sisman; Dorien Herremans (TENCON, 2024)

Accent Conversion in Text-to-Speech Using Multi-Level VAE and Adversarial Training. - Jan Melechovský; Ambuj Mehrish; Berrak Sisman; Dorien Herremans (TENCON, 2024)

emoDARTS: Joint Optimization of CNN and Sequential Neural Network Architectures for Superior Speech Emotion Recognition. - Thejan Rajapakshe; Rajib Rana; Sara Khalifa; Berrak Sisman; Björn W. Schuller; Carlos Busso (IEEE Access, 2024)

emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition. - Thejan Rajapakshe; Rajib Rana; Sara Khalifa; Berrak Sisman; Björn W. Schuller; Carlos Busso (CoRR, 2024)

Style Mixture of Experts for Expressive Text-To-Speech Synthesis. - Ahad Jawaid; Shreeram Suresh Chandra; Junchen Lu; Berrak Sisman (CoRR, 2024)

We Need Variations in Speech Synthesis: Sub-center Modelling for Speaker Embeddings. - Ismail Rasim Ulgen; Carlos Busso; John H. L. Hansen; Berrak Sisman (CoRR, 2024)

SelectTTS: Synthesizing Anyone's Voice via Discrete Unit-Based Frame Selection. - Ismail Rasim Ulgen; Shreeram Suresh Chandra; Junchen Lu; Berrak Sisman (CoRR, 2024)

DART: Disentanglement of Accent and Speaker Representation in Multispeaker Text-to-Speech. - Jan Melechovský; Ambuj Mehrish; Berrak Sisman; Dorien Herremans (CoRR, 2024)

Controllable Accented Text-to-Speech Synthesis With Fine and Coarse-Grained Intensity Rendering. - Rui Liu 008; Berrak Sisman; Guanglai Gao; Haizhou Li 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

PRESENT: Zero-Shot Text-to-Prosody Control. - Perry Lam; Huayun Zhang; Nancy F. Chen; Berrak Sisman; Dorien Herremans (IEEE Signal Process. Lett., 2025)

Versatile Audio-Visual Learning for Emotion Recognition. - Lucas Goncalves; Seong-Gyun Leem; Wei-Cheng Lin; Berrak Sisman; Carlos Busso (IEEE Trans. Affect. Comput., 2025)

Towards Emotionally Consistent Text-Based Speech Editing: Introducing EmoCorrector and The ECD-TSE Dataset. - Rui Liu 008; Pu Gao; Jiatian Xi; Berrak Sisman; Carlos Busso; Haizhou Li 001 (CoRR, 2025)

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast. - Shreeram Suresh Chandra; Lucas Goncalves; Junchen Lu; Carlos Busso; Berrak Sisman (CoRR, 2025)

Can Emotion Fool Anti-spoofing? - Aurosweta Mahapatra; Ismail Rasim Ulgen; Abinay Reddy Naini; Carlos Busso; Berrak Sisman (CoRR, 2025)