cluster #9

Papers

• Natural TTS Synthesis By Conditioning Wavenet On Mel Spectrogram Predictions (2017)
  Jonathan Shen, Ruoming Pang, Ron J. Weiss, et al.
  24.07
• Text-free Prosody-aware Generative Spoken Language Modeling (2021)
  Eugene Kharitonov, Ann Lee, Adam Polyak, et al.
  20.95
• VQMIVC: Vector Quantization And Mutual Information-based Unsupervised Speech Representation Disentanglement For One-shot Voice Conversion (2021)
  Disong Wang, Liqun Deng, Yu Ting Yeung, et al.
  20.31
• A Comparison Of Discrete And Soft Speech Units For Improved Voice Conversion (2021)
  Benjamin van Niekerk, Marc-André Carbonneau, Julian Zaïdi, et al.
  20.25
• Neural Speech Synthesis With Transformer Network (2018)
  Naihan Li, Shujie Liu, Yanqing Liu, et al.
  19.95
• An Overview Of Voice Conversion And Its Challenges: From Statistical Modeling To Deep Learning (2020)
  Berrak Sisman, Junichi Yamagishi, Simon King, et al.
  18.53
• Amphion: An Open-source Audio, Music And Speech Generation Toolkit (2023)
  Xueyao Zhang, Liumeng Xue, Yicheng Gu, et al.
  18.19
• Efficiently Trainable Text-to-speech System Based On Deep Convolutional Networks With Guided Attention (2017)
  Hideyuki Tachibana, Katsuya Uenoyama, Shunsuke Aihara
  16.41
• Prompting The Hidden Talent Of Web-scale Speech Models For Zero-shot Task Generalization (2023)
  Puyuan Peng, Brian Yan, Shinji Watanabe, et al.
  16.38
• Naturalspeech: End-to-end Text To Speech Synthesis With Human-level Quality (2022)
  Xu Tan, Jiawei Chen, Haohe Liu, et al.
  16.32
• Fastpitch: Parallel Text-to-speech With Pitch Prediction (2020)
  Adrian Łańcucki
  16.23
• Zero-shot Multi-speaker Text-to-speech With State-of-the-art Neural Speaker Embeddings (2019)
  Erica Cooper, Cheng-I Lai, Yusuke Yasuda, et al.
  15.67
• VERSA: A Versatile Evaluation Toolkit For Speech, Audio, And Music (2024)
  Jiatong Shi, Hye-Jin Shim, Jinchuan Tian, et al.
  15.28
• Learning To Speak Fluently In A Foreign Language: Multilingual Speech Synthesis And Cross-language Voice Cloning (2019)
  Yu Zhang, Ron J. Weiss, Heiga Zen, et al.
  15.03
• Matcha-tts: A Fast TTS Architecture With Conditional Flow Matching (2023)
  Shivam Mehta, Ruibo Tu, Jonas Beskow, et al.
  14.73
• ACVAE-VC: Non-parallel Many-to-many Voice Conversion With Auxiliary Classifier Variational Autoencoder (2018)
  Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, et al.
  14.69
• Lightweight And High-fidelity End-to-end Text-to-speech With Multi-band Generation And Inverse Short-time Fourier Transform (2022)
  Masaya Kawamura, Yuma Shirahata, Ryuichi Yamamoto, et al.
  14.57
• Robust And Fine-grained Prosody Control Of End-to-end Speech Synthesis (2018)
  Younggun Lee, Taesu Kim
  14.31
• AGAIN-VC: A One-shot Voice Conversion Using Activation Guidance And Adaptive Instance Normalization (2020)
  Yen-Hao Chen, da-Yi Wu, Tsung-Han Wu, et al.
  14.27
• Mellotron: Multispeaker Expressive Voice Synthesis By Conditioning On Rhythm, Pitch And Global Style Tokens (2019)
  Rafael Valle, Jason Li, Ryan Prenger, et al.
  14.19
• Atts2s-vc: Sequence-to-sequence Voice Conversion With Attention And Context Preservation Mechanisms (2018)
  Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, et al.
  14.15
• Predicting Expressive Speaking Style From Text In End-to-end Speech Synthesis (2018)
  Daisy Stanton, Yuxuan Wang, Rj Skerry-Ryan
  14.11
• Any-to-many Voice Conversion With Location-relative Sequence-to-sequence Modeling (2020)
  Songxiang Liu, Yuewen Cao, Disong Wang, et al.
  14.02
• Non-parallel Sequence-to-sequence Voice Conversion With Disentangled Linguistic And Speaker Representations (2019)
  Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai
  14.02
• Speech Recognition With Augmented Synthesized Speech (2019)
  Andrew Rosenberg, Yu Zhang, Bhuvana Ramabhadran, et al.
  13.97
• Expressive Speech Synthesis Via Modeling Expressions With Variational Autoencoder (2018)
  Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
  13.88
• VQVC+: One-shot Voice Conversion By Vector Quantization And U-net Architecture (2020)
  da-Yi Wu, Yen-Hao Chen, Hung-Yi Lee
  13.34
• Semi-supervised Training For Improving Data Efficiency In End-to-end Speech Synthesis (2018)
  Yu-An Chung, Yuxuan Wang, Wei-Ning Hsu, et al.
  13.28
• Fully-hierarchical Fine-grained Prosody Modeling For Interpretable Speech Synthesis (2020)
  Guangzhi Sun, Yu Zhang, Ron J. Weiss, et al.
  13.28
• Voice Transformer Network: Sequence-to-sequence Voice Conversion Using Transformer With Text-to-speech Pretraining (2019)
  Wen-Chin Huang, Tomoki Hayashi, Yi-Chiao Wu, et al.
  13.17
• Location-relative Attention Mechanisms For Robust Long-form Speech Synthesis (2019)
  Eric Battenberg, Rj Skerry-Ryan, Soroosh Mariooryad, et al.
  13.11
• Unsupervised Text-to-speech Synthesis By Unsupervised Automatic Speech Recognition (2022)
  Junrui Ni, Liming Wang, Heting Gao, et al.
  12.92
• Wave-tacotron: Spectrogram-free End-to-end Text-to-speech Synthesis (2020)
  Ron J. Weiss, Rj Skerry-Ryan, Eric Battenberg, et al.
  12.81
• Meta-tts: Meta-learning For Few-shot Speaker Adaptive Text-to-speech (2021)
  Sung-Feng Huang, Chyi-Jiunn Lin, da-Rong Liu, et al.
  12.74
• Expressive TTS Training With Frame And Style Reconstruction Loss (2020)
  Rui Liu, Berrak Sisman, Guanglai Gao, et al.
  12.74
• Transfer Learning From Speech Synthesis To Voice Conversion With Non-parallel Training Data (2020)
  Mingyang Zhang, Yi Zhou, Li Zhao, et al.
  12.74
• Parallel Tacotron 2: A Non-autoregressive Neural TTS Model With Differentiable Duration Modeling (2021)
  Isaac Elias, Heiga Zen, Jonathan Shen, et al.
  12.68
• Convs2s-vc: Fully Convolutional Sequence-to-sequence Voice Conversion (2018)
  Hirokazu Kameoka, Kou Tanaka, Damian Kwasny, et al.
  12.68
• Parallel Tacotron: Non-autoregressive And Controllable TTS (2020)
  Isaac Elias, Heiga Zen, Jonathan Shen, et al.
  12.54
• Fragmentvc: Any-to-any Voice Conversion By End-to-end Extracting And Fusing Fine-grained Voice Fragments With Attention (2020)
  Yist Y. Lin, Chung-Ming Chien, Jheng-Hao Lin, et al.
  12.54
• Generating Diverse And Natural Text-to-speech Samples Using A Quantized Fine-grained VAE And Auto-regressive Prosody Prior (2020)
  Guangzhi Sun, Yu Zhang, Ron J. Weiss, et al.
  12.54
• Investigation Of Enhanced Tacotron Text-to-speech Synthesis Systems With Self-attention For Pitch Accent Language (2018)
  Yusuke Yasuda, Xin Wang, Shinji Takaki, et al.
  12.54
• VITS2: Improving Quality And Efficiency Of Single-stage Text-to-speech With Adversarial Learning And Architecture Design (2023)
  Jungil Kong, Jihoon Park, Beomjeong Kim, et al.
  12.40
• AVQVC: One-shot Voice Conversion By Vector Quantization With Applying Contrastive Learning (2022)
  Huaizhen Tang, Xulong Zhang, Jianzong Wang, et al.
  12.40
• S2VC: A Framework For Any-to-any Voice Conversion With Self-supervised Pretrained Representations (2021)
  Jheng-Hao Lin, Yist Y. Lin, Chung-Ming Chien, et al.
  12.25
• Fluentspeech: Stutter-oriented Automatic Speech Editing With Context-aware Diffusion Models (2023)
  Ziyue Jiang, Qian Yang, Jialong Zuo, et al.
  12.13
• JETS: Jointly Training Fastspeech2 And Hifi-gan For End To End Text To Speech (2022)
  Dan Lim, Sunghee Jung, Eesung Kim
  12.10
• Forward Attention In Sequence-to-sequence Acoustic Modelling For Speech Synthesis (2018)
  Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai
  12.10
• Attentron: Few-shot Text-to-speech Utilizing Attention-based Variable-length Embedding (2020)
  Seungwoo Choi, Seungju Han, Dongyoung Kim, et al.
  12.02
• Speechx: Neural Codec Language Model As A Versatile Speech Transformer (2023)
  Xiaofei Wang, Manthan Thakker, Zhuo Chen, et al.
  11.85