Papers
Expediting TTS Synthesis with Adversarial Vocoding
Paarth Neekhara, Chris Donahue, Miller Puckette et al.
Explaining Sentiment Classification
Marvin Rajwadi, Cornelius Glackin, Julie Wall et al.
Exploiting Monolingual Speech Corpora for Code-Mixed Speech Recognition
Karan Taneja, Satarupa Guha, Preethi Jyothi et al.
Exploiting Multi-Channel Speech Presence Probability in Parametric Multi-Channel Wiener Filter
Saeed Bagheri, Daniele Giacobello
Exploiting Semi-Supervised Training Through a Dropout Regularization in End-to-End Speech Recognition
Subhadeep Dey, Petr Motlicek, Trung Bui et al.
Exploiting Syntactic Features in a Parsed Tree to Improve End-to-End TTS
Haohan Guo, Frank K. Soong, Lei He et al.
Exploiting Visual Features Using Bayesian Gated Neural Networks for Disordered Speech Recognition
Shansong Liu, Shoukang Hu, Yi Wang et al.
Exploring Critical Articulator Identification from 50Hz RT-MRI Data of the Vocal Tract
Samuel Silva, António Teixeira, Conceição Cunha et al.
Exploring Methods for the Automatic Detection of Errors in Manual Transcription
Xiaofei Wang, Jinyi Yang, Ruizhi Li et al.
Exploring the Encoder Layers of Discriminative Autoencoders for LVCSR
Pin-Tuan Huang, Hung-Shin Lee, Syu-Siang Wang et al.
Expressiveness Influences Human Vocal Alignment Toward voice-AI
Michelle Cohn, Georgia Zellou
Extending an Acoustic Data-Driven Phone Set for Spontaneous Speech Recognition
Jeong-Uk Bang, Mu-Yeol Choi, Sang-Hun Kim et al.
Extending the E-Model Towards Super-Wideband and Fullband Speech Communication Scenarios
Sebastian Möller, Gabriel Mittag, Thilo Michael et al.
Extract, Adapt and Recognize: An End-to-End Neural Network for Corrupted Monaural Speech Recognition
Max W.Y. Lam, Jun Wang, Xunying Liu et al.
Extracting Mel-Frequency and Bark-Frequency Cepstral Coefficients from Encrypted Signals
Patricia Thaine, Gerald Penn
F0 Variability Measures Based on Glottal Closure Instants
Yu-Ren Chien, Michal Borský, Jón Guðnason
Factorization of Discriminatively Trained i-Vector Extractor for Speaker Recognition
Ondřej Novotný, Oldřich Plchot, Ondřej Glembek et al.
Far-Field Speech Enhancement Using Heteroscedastic Autoencoder for Improved Speech Recognition
Shashi Kumar, Shakti P. Rath
FarSpeech: Arabic Natural Language Processing for Live Arabic Speech
Mohamed Eldesouki, Naassih Gopee, Ahmed Ali et al.
Fast DNN Acoustic Model Speaker Adaptation by Learning Hidden Unit Contribution Features
Xurong Xie, Xunying Liu, Tan Lee 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.
Feature Exploration for Almost Zero-Resource ASR-Free Keyword Spotting Using a Multilingual Bottleneck Extractor and Correspondence Autoencoders
Raghav Menon, Herman Kamper, Ewald van der Westhuizen et al.
Feature Representation of Pathophysiology of Parkinsonian Dysarthria
Alice Rueda, J.C. Vásquez-Correa, Cristian David Rios-Urrego et al.
Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data
Philipp Klumpp, J.C. Vásquez-Correa, Tino Haderlein et al.