Papers
Multi-Accent Adaptation Based on Gate Mechanism
Han Zhu, Li Wang, Pengyuan Zhang et al.
Improved Vocal Tract Length Perturbation for a State-of-the-Art End-to-End Speech Recognition System
Chanwoo Kim, Minkyu Shin, Abhinav Garg et al.
Exploiting Semi-Supervised Training Through a Dropout Regularization in End-to-End Speech Recognition
Subhadeep Dey, Petr Motlicek, Trung Bui et al.
Semi-Supervised Voice Conversion with Amortized Variational Inference
Cory Stephenson, Gokce Keskin, Anil Thomas et al.
Group Latent Embedding for Vector Quantized Variational Autoencoder in Non-Parallel Voice Conversion
Shaojin Ding, Ricardo Gutierrez-Osuna
Generative Adversarial Networks for Unpaired Voice Transformation on Impaired Speech
Li-Wei Chen, Hung-Yi Lee, Yu Tsao
Jointly Trained Conversion Model and WaveNet Vocoder for Non-Parallel Voice Conversion Using Mel-Spectrograms and Phonetic Posteriorgrams
Songxiang Liu, Yuewen Cao, Xixin Wu et al.
Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice Conversion
Wen-Chin Huang, Yi-Chiao Wu, Chen-Chou Lo et al.
One-Shot Voice Conversion with Disentangled Representations by Leveraging Phonetic Posteriorgrams
Seyed Hamidreza Mohammadi, Taehwan Kim
Probability Density Distillation with Generative Adversarial Networks for High-Quality Parallel Waveform Generation
Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim
GELP: GAN-Excited Linear Prediction for Speech Synthesis from Mel-Spectrogram
Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi et al.
Fast Learning for Non-Parallel Many-to-Many Voice Conversion with Residual Star Generative Adversarial Networks
Shengkui Zhao, Trung Hieu Nguyen, Hao Wang et al.
Robustness of Statistical Voice Conversion Based on Direct Waveform Modification Against Background Sounds
Yusuke Kurita, Kazuhiro Kobayashi, Kazuya Takeda et al.
StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion
Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka et al.
Non-Parallel Voice Conversion with Cyclic Variational Autoencoder
Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi et al.
One-Shot Voice Conversion with Global Speaker Embeddings
Hui Lu, Zhiyong Wu, Dongyang Dai et al.
One-Shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization
Ju-chieh Chou, Hung-Yi Lee
Non-Parallel Voice Conversion Using Weighted Generative Adversarial Networks
Dipjyoti Paul, Yannis Pantazis, Yannis Stylianou
Regression and Classification for Direction-of-Arrival Estimation with Convolutional Recurrent Neural Networks
Zhenyu Tang, John D. Kanu, Kevin Hogan et al.
An Approach to Online Speaker Change Point Detection Using DNNs and WFSTs
Lukas Mateju, Petr Cerva, Jindrich Zdansky
Weakly Supervised Syllable Segmentation by Vowel-Consonant Peak Classification
Ravi Shankar, Archana Venkataraman
Phone Aware Nearest Neighbor Technique Using Spectral Transition Measure for Non-Parallel Voice Conversion
Nirmesh J. Shah, Hemant A. Patil
Effects of Base-Frequency and Spectral Envelope on Deep-Learning Speech Separation and Recognition Models
J. Hui, Y. Wei, S.T. Chen et al.
Dr.VOT: Measuring Positive and Negative Voice Onset Time in the Wild
Yosi Shrem, Matthew Goldrick, Joseph Keshet
A Combination of Model-Based and Feature-Based Strategy for Speech-to-Singing Alignment
Bidisha Sharma, Haizhou Li