Papers
Effect of Spectral Complexity Reduction and Number of Instruments on Musical Enjoyment with Cochlear Implants
Avamarie Brueggeman, John H.L. Hansen
Effects of Dialectal Code-Switching on Speech Modules: A Study Using Egyptian Arabic Broadcast Speech
Shammur A. Chowdhury, Younes Samih, Mohamed Eldesouki et al.
Efficient Low-Latency Speech Enhancement with Mobile Audio Streaming Networks
Michal Romaniuk, Piotr Masztalski, Karol Piaskowski et al.
Efficient MDI Adaptation for n-Gram Language Models
Ruizhe Huang, Ke Li, Ashish Arora et al.
Efficient Minimum Word Error Rate Training of RNN-Transducer for End-to-End Speech Recognition
Jinxi Guo, Gautam Tiwari, Jasha Droppo et al.
Efficient Neural Speech Synthesis for Low-Resource Languages Through Multilingual Modeling
Marcel de Korte, Jaebok Kim, Esther Klabbers
Efficient Wait-k Models for Simultaneous Machine Translation
Maha Elbayad, Laurent Besacier, Jakob Verbeek
Efficient WaveGlow: An Improved WaveGlow Vocoder with Enhanced Speed
Wei Song, Guanghui Xu, Zhengchen Zhang et al.
EigenEmo: Spectral Utterance Representation Using Dynamic Mode Decomposition for Speech Emotion Classification
Shuiyang Mao, P.C. Ching, Tan Lee
Electroglottographic-Phonetic Study on Korean Phonation Induced by Tripartite Plosives in Yanbian Korean
Yinghao Li, Jinghua Zhang
Emitting Word Timings with End-to-End Models
Tara N. Sainath, Ruoming Pang, David Rybach et al.
Emotion Profile Refinery for Speech Emotion Classification
Shuiyang Mao, P.C. Ching, Tan Lee
Empirical Interpretation of Speech Emotion Perception with Attention Based Model for Speech Emotion Recognition
Md. Asif Jalal, Rosanna Milner, Thomas Hain
End-to-End ASR with Adaptive Span Self-Attention
Xuankai Chang, Aswin Shanmugam Subramanian, Pengcheng Guo et al.
End-to-End Deep Learning Speech Recognition Model for Silent Speech Challenge
Naoki Kimura, Zixiong Su, Takaaki Saeki
End-to-End Domain-Adversarial Voice Activity Detection
Marvin Lavechin, Marie-Philippe Gill, Ruben Bousbib et al.
End-to-End Far-Field Speech Recognition with Unified Dereverberation and Beamforming
Wangyou Zhang, Aswin Shanmugam Subramanian, Xuankai Chang et al.
End-to-End Keyword Search Based on Attention and Energy Scorer for Low Resource Languages
Zeyu Zhao, Wei-Qiang Zhang
End-to-End Multi-Look Keyword Spotting
Meng Yu, Xuan Ji, Bo Wu et al.
End-to-End Named Entity Recognition from English Speech
Hemant Yadav, Sreyan Ghosh, Yi Yu et al.
End-to-End Neural Transformer Based Spoken Language Understanding
Martin Radfar, Athanasios Mouchtaris, Siegfried Kunzmann
End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors
Shota Horiguchi, Yusuke Fujita, Shinji Watanabe et al.
End-to-End Speech Emotion Recognition Combined with Acoustic-to-Word ASR Model
Han Feng, Sei Ueno, Tatsuya Kawahara
End-to-End Speech Intelligibility Prediction Using Time-Domain Fully Convolutional Neural Networks
Mathias B. Pedersen, Morten Kolbæk, Asger H. Andersen et al.