Papers
Disfluencies and Human Speech Transcription Errors
Vicky Zayats, Trang Tran, Richard Wright et al.
Do Conversational Partners Entrain on Articulatory Precision?
Nichola Lubold, Stephanie A. Borrie, Tyson S. Barrett et al.
Does the Lombard Effect Improve Emotional Communication in Noise? — Analysis of Emotional Speech Acted in Noise
Yi Zhao, Atsushi Ando, Shinji Takaki et al.
Do Hesitations Facilitate Processing of Partially Defective System Utterances? An Exploratory Eye Tracking Study
Kristin Haake, Sarah Schimke, Simon Betz et al.
Dr.VOT: Measuring Positive and Negative Voice Onset Time in the Wild
Yosi Shrem, Matthew Goldrick, Joseph Keshet
Dual Encoder Classifier Models as Constraints in Neural Text Normalization
Ajda Gokcen, Hao Zhang, Richard Sproat
Duration Modeling with Global Phoneme-Duration Vectors
Jinfu Ni, Yoshinori Shiga, Hisashi Kawai
Early Identification of Speech Changes Due to Amyotrophic Lateral Sclerosis Using Machine Classification
Sarah E. Gutz, Jun Wang, Yana Yunusova et al.
Ectc-Docd: An End-to-End Structure with CTC Encoder and OCD Decoder for Speech Recognition
Cheng Yi, Feng Wang, Bo Xu
Effects of Base-Frequency and Spectral Envelope on Deep-Learning Speech Separation and Recognition Models
J. Hui, Y. Wei, S.T. Chen et al.
Effects of Waveform PMF on Anti-Spoofing Detection
Itshak Lapidot, Jean-François Bonastre
Elpis, an Accessible Speech-to-Text Tool
Ben Foley, Alina Rakhi, Nicholas Lambourne et al.
Emotion Recognition from Natural Phone Conversations in Individuals with and without Recent Suicidal Ideation
John Gideon, Heather T. Schatten, Melvin G. McInnis et al.
Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-Resource Settings
Marcely Zanon Boito, Aline Villavicencio, Laurent Besacier
Employing Bottleneck and Convolutional Features for Speech-Based Physical Load Detection on Limited Data Amounts
Olga Egorow, Tarik Mrech, Norman Weißkirchen et al.
End-to-End Accented Speech Recognition
Thibault Viglino, Petr Motlicek, Milos Cernak
End-to-End Adaptation with Backpropagation Through WFST for On-Device Speech Recognition System
Emiru Tsunoo, Yosuke Kashiwagi, Satoshi Asakawa et al.
End-to-End Articulatory Attribute Modeling for Low-Resource Multilingual Speech Recognition
Sheng Li, Chenchen Ding, Xugang Lu et al.
End-to-End Automatic Speech Recognition with a Reconstruction Criterion Using Speech-to-Text and Text-to-Speech Encoder-Decoders
Ryo Masumura, Hiroshi Sato, Tomohiro Tanaka et al.
End-to-End Convolutional Sequence Learning for ASL Fingerspelling Recognition
Katerina Papadimitriou, Gerasimos Potamianos
End-to-End Losses Based on Speaker Basis Vectors and All-Speaker Hard Negative Mining for Speaker Verification
Hee-Soo Heo, Jee-weon Jung, IL-Ho Yang et al.