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title: "Interspeech 2019 — all accepted papers, page 2"
description: "All 914 papers of Interspeech 2019 · page 2 of 10, the most cited first; those with our summary link to it."
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# Interspeech 2019: all accepted papers

914 papers · page 2 of 10 · the most cited first · [← Interspeech 2019](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2019/)

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101. **[Unsupervised Singing Voice Conversion ↗](https://doi.org/10.21437/interspeech.2019-1761)**Eliya Nachmani, Lior Wolf*56 citations*
102. **[Speaker Augmentation and Bandwidth Extension for Deep Speaker Embedding ↗](https://doi.org/10.21437/interspeech.2019-1508)**H. Yamamoto, Kong Aik Lee, Koji Okabe et al.*55 citations*
103. **[Regression and Classification for Direction-of-Arrival Estimation with Convolutional Recurrent Neural Networks ↗](https://doi.org/10.21437/interspeech.2019-1111)**Zhenyu Tang, John Kanu, Kevin Hogan et al.*54 citations*
104. **[End-to-End Accented Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-2122)**Thibault Viglino, Petr Motlíček, Miloš Cerňak*53 citations*
105. **[Detecting Depression with Word-Level Multimodal Fusion ↗](https://doi.org/10.21437/interspeech.2019-2283)**Morteza Rohanian, Julian Hough, Matthew Purver*52 citations*
106. **[Pre-Trained Text Embeddings for Enhanced Text-to-Speech Synthesis ↗](https://doi.org/10.21437/interspeech.2019-3177)**Tomoki Hayashi, Shinji Watanabe, Tomoki Toda et al.*52 citations*
107. **[Replay Attack Detection with Complementary High-Resolution Information Using End-to-End DNN for the ASVspoof 2019 Challenge ↗](https://doi.org/10.21437/interspeech.2019-1991)**Jee-weon Jung, Hye-jin Shim, Hee-Soo Heo et al.*52 citations*
108. **[The GDPR & Speech Data: Reflections of Legal and Technology Communities, First Steps Towards a Common Understanding ↗](https://doi.org/10.21437/interspeech.2019-2647)**Andreas Nautsch, Catherine Jasserand, Els J. Kindt et al.*52 citations*
109. **[Transformer Based Grapheme-to-Phoneme Conversion ↗](https://doi.org/10.21437/interspeech.2019-1954)**Sevinj Yolchuyeva, Géza Németh, Bálint Gyires-Tóth*52 citations*
110. **[Unsupervised Acoustic Unit Discovery for Speech Synthesis Using Discrete Latent-Variable Neural Networks ↗](https://doi.org/10.21437/interspeech.2019-1518)**Ryan Eloff, André Nortje, Benjamin van Niekerk et al.*52 citations*
111. **[A Deep Residual Network for Large-Scale Acoustic Scene Analysis ↗](https://doi.org/10.21437/interspeech.2019-2731)**Logan Ford, Hao Tang, François Grondin et al.*51 citations*
112. **[An Investigation into On-Device Personalization of End-to-End Automatic Speech Recognition Models ↗](https://doi.org/10.21437/interspeech.2019-1752)**Khe Chai Sim, Petr Zadrazil, Françoise Beaufays*51 citations*
113. **[Building the Singapore English National Speech Corpus ↗](https://doi.org/10.21437/interspeech.2019-1525)**Jia Xin Koh, Aqilah Mislan, Kevin Khoo et al.*51 citations*
114. **[High Quality, Lightweight and Adaptable TTS Using LPCNet ↗](https://doi.org/10.21437/interspeech.2019-1705)**Zvi Kons, Slava Shechtman, Alex Sorin et al.*51 citations*
115. **[Joint Grapheme and Phoneme Embeddings for Contextual End-to-End ASR ↗](https://doi.org/10.21437/interspeech.2019-1434)**Zhehuai Chen, Mahaveer Jain, Yongqiang Wang et al.*51 citations*
116. **[Long Range Acoustic Features for Spoofed Speech Detection ↗](https://doi.org/10.21437/interspeech.2019-1887)**Rohan Kumar Das, Jichen Yang, Haizhou Li*51 citations*
117. **[Online Hybrid CTC/Attention Architecture for End-to-End Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-2018)**Haoran Miao, Gaofeng Cheng, Pengyuan Zhang et al.*51 citations*
118. **[Noise Adaptive Speech Enhancement Using Domain Adversarial Training ↗](https://doi.org/10.21437/interspeech.2019-1519)**Chien-Feng Liao, Yu Tsao, Hung-yi Lee et al.*50 citations*
119. **[On the Usage of Phonetic Information for Text-Independent Speaker Embedding Extraction ↗](https://doi.org/10.21437/interspeech.2019-3036)**Shuai Wang, Johan Rohdin, Lukáš Burget et al.*50 citations*
120. **[Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech ↗](https://doi.org/10.21437/interspeech.2019-1405)**Juan Camilo Vásquez-Correa, Philipp Klumpp, Juan Rafael Orozco‐Arroyave et al.*50 citations*
121. **[The SJTU Robust Anti-Spoofing System for the ASVspoof 2019 Challenge ↗](https://doi.org/10.21437/interspeech.2019-2170)**Yexin Yang, Hongji Wang, Heinrich Dinkel et al.*49 citations*
122. **[Foreign Accent Conversion by Synthesizing Speech from Phonetic Posteriorgrams ↗](https://doi.org/10.21437/interspeech.2019-1778)**Guanlong Zhao, Shaojin Ding, Ricardo Gutiérrez‐Osuna*48 citations*
123. **[Language Learning Using Speech to Image Retrieval ↗](https://doi.org/10.21437/interspeech.2019-3067)**Danny Merkx, Stefan L. Frank, Mirjam Ernestus*48 citations*
124. **[Probability Density Distillation with Generative Adversarial Networks for High-Quality Parallel Waveform Generation ↗](https://doi.org/10.21437/interspeech.2019-1965)**Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim*47 citations*
125. **[x-Vector DNN Refinement with Full-Length Recordings for Speaker Recognition ↗](https://doi.org/10.21437/interspeech.2019-2205)**Daniel Garcia-Romero, David Snyder, Gregory Sell et al.*47 citations*
126. **[Few-Shot Audio Classification with Attentional Graph Neural Networks ↗](https://doi.org/10.21437/interspeech.2019-1532)**Shilei Zhang, Yong Qin, Kewei Sun et al.*46 citations*
127. **[Self-Supervised Speaker Embeddings ↗](https://doi.org/10.21437/interspeech.2019-2842)**Themos Stafylakis, Johan Rohdin, Oldřich Plchot et al.*46 citations*
128. **[Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion ↗](https://doi.org/10.21437/interspeech.2019-1208)**Hao Sun, Xu Tan, Jun-Wei Gan et al.*46 citations*
129. **[Automatic Detection of Autism Spectrum Disorder in Children Using Acoustic and Text Features from Brief Natural Conversations ↗](https://doi.org/10.21437/interspeech.2019-1452)**Sunghye Cho, Mark Liberman, Neville Ryant et al.*45 citations*
130. **[Video-Driven Speech Reconstruction Using Generative Adversarial Networks ↗](https://doi.org/10.21437/interspeech.2019-1445)**Konstantinos Vougioukas, Pingchuan Ma, Stavros Petridis et al.*45 citations*
131. **[Group Latent Embedding for Vector Quantized Variational Autoencoder in Non-Parallel Voice Conversion ↗](https://doi.org/10.21437/interspeech.2019-1198)**Shaojin Ding, Ricardo Gutiérrez‐Osuna*44 citations*
132. **[The Airbus Air Traffic Control Speech Recognition 2018 Challenge: Towards ATC Automatic Transcription and Call Sign Detection ↗](https://doi.org/10.21437/interspeech.2019-1962)**Thomas Pellegrini, Jérôme Farinas, Estelle Maryline Delpech et al.*44 citations*
133. **[Variational Domain Adversarial Learning for Speaker Verification ↗](https://doi.org/10.21437/interspeech.2019-2168)**Youzhi Tu, Man‐Wai Mak, Jen‐Tzung Chien*44 citations*
134. **[A New GAN-Based End-to-End TTS Training Algorithm ↗](https://doi.org/10.21437/interspeech.2019-2176)**Haohan Guo, Frank K. Soong, Lei He et al.*43 citations*
135. **[A New Time-Frequency Attention Mechanism for TDNN and CNN-LSTM-TDNN, with Application to Language Identification ↗](https://doi.org/10.21437/interspeech.2019-1256)**Xiaoxiao Miao, Ian Vince McLoughlin, Yonghong Yan*43 citations*
136. **[An Online Attention-Based Model for Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-2218)**Ruchao Fan, Pan Zhou, Wei Chen et al.*43 citations*
137. **[Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? ↗](https://doi.org/10.21437/interspeech.2019-2415)**Brij Mohan Lal Srivastava, Aurélien Bellet, Marc Tommasi et al.*43 citations*
138. **[Cascaded Cross-Module Residual Learning Towards Lightweight End-to-End Speech Coding ↗](https://doi.org/10.21437/interspeech.2019-1816)**Kai Zhen, Jongmo Sung, Mi Suk Lee et al.*42 citations*
139. **[Deep Learning Based Mandarin Accent Identification for Accent Robust ASR ↗](https://doi.org/10.21437/interspeech.2019-2737)**Felix Johannes Weninger, Yang Sun, Junho Park et al.*41 citations*
140. **[Deep Sensing of Breathing Signal During Conversational Speech ↗](https://doi.org/10.21437/interspeech.2019-1796)**Venkata Srikanth Nallanthighal, Aki Härmä, Helmer Strik*41 citations*
141. **[Disentangling Style Factors from Speaker Representations ↗](https://doi.org/10.21437/interspeech.2019-1769)**Jennifer A. Williams, Simon King*41 citations*
142. **[Improving Keyword Spotting and Language Identification via Neural Architecture Search at Scale ↗](https://doi.org/10.21437/interspeech.2019-1916)**Hanna Mazzawi, Xavi Gonzalvo, Aleksandar Kracun et al.*41 citations*
143. **[Meeting Transcription Using Asynchronous Distant Microphones ↗](https://doi.org/10.21437/interspeech.2019-3088)**Takuya Yoshioka, Dimitrios Dimitriadis, Andreas Stolcke et al.*41 citations*
144. **[Multi-Modal Learning for Speech Emotion Recognition: An Analysis and Comparison of ASR Outputs with Ground Truth Transcription ↗](https://doi.org/10.21437/interspeech.2019-1149)**Saurabh Sahu, Vikramjit Mitra, Nadee Seneviratne et al.*41 citations*
145. **[The VOiCES from a Distance Challenge 2019 ↗](https://doi.org/10.21437/interspeech.2019-1837)**Mahesh Kumar Nandwana, Julien van Hout, Colleen Richey et al.*41 citations*
146. **[UNetGAN: A Robust Speech Enhancement Approach in Time Domain for Extremely Low Signal-to-Noise Ratio Condition ↗](https://doi.org/10.21437/interspeech.2019-1567)**Xiang Hao, Xiangdong Su, Zhiyu Wang et al.*41 citations*
147. **[A Multi-Accent Acoustic Model Using Mixture of Experts for Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-1667)**Abhinav Jain, Vishwanath Pratap Singh, Shakti P. Rath*40 citations*
148. **[Neural Transfer Learning for Cry-Based Diagnosis of Perinatal Asphyxia ↗](https://doi.org/10.21437/interspeech.2019-2340)**Charles C. Onu, Jonathan Lebensold, William L. Hamilton et al.*40 citations*
149. **[On Learning Interpretable CNNs with Parametric Modulated Kernel-Based Filters ↗](https://doi.org/10.21437/interspeech.2019-1257)**Erfan Loweimi, Peter Bell, Steve J. Renals*40 citations*
150. **[Speaker Adaptation for Attention-Based End-to-End Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-3135)**Zhong Meng, Yashesh Gaur, Jinyu Li et al.*40 citations*
151. **[Automatic Depression Level Detection via ℓp-Norm Pooling ↗](https://doi.org/10.21437/interspeech.2019-1617)**Mingyue Niu, Jianhua Tao, Bin Liu et al.*39 citations*
152. **[Guiding CTC Posterior Spike Timings for Improved Posterior Fusion and Knowledge Distillation ↗](https://doi.org/10.21437/interspeech.2019-1952)**Gakuto Kurata, Kartik Audhkhasi*39 citations*
153. **[Improving Transformer-Based Speech Recognition Systems with Compressed Structure and Speech Attributes Augmentation ↗](https://doi.org/10.21437/interspeech.2019-2112)**Sheng Li, Raj Dabre, Xugang Lu et al.*39 citations*
154. **[Multi-Channel Speech Enhancement Using Time-Domain Convolutional Denoising Autoencoder ↗](https://doi.org/10.21437/interspeech.2019-3197)**Naohiro Tawara, Tetsunori Kobayashi, Tetsuji Ogawa*39 citations*
155. **[ReMASC: Realistic Replay Attack Corpus for Voice Controlled Systems ↗](https://doi.org/10.21437/interspeech.2019-1541)**Yuan Gong, Jian Yang, Jacob Huber et al.*39 citations*
156. **[Spontaneous Conversational Speech Synthesis from Found Data ↗](https://doi.org/10.21437/interspeech.2019-2836)**Éva Székely, Gustav Eje Henter, Jonas Beskow et al.*39 citations*
157. **[Improved Vocal Tract Length Perturbation for a State-of-the-Art End-to-End Speech Recognition System ↗](https://doi.org/10.21437/interspeech.2019-3227)**Chanwoo Kim, Minkyu Shin, Abhinav Garg et al.*38 citations*
158. **[Linguistically Motivated Parallel Data Augmentation for Code-Switch Language Modeling ↗](https://doi.org/10.21437/interspeech.2019-1382)**Grandee Lee, Xianghu Yue, Haizhou Li*38 citations*
159. **[Who Said That?: Audio-Visual Speaker Diarisation of Real-World Meetings ↗](https://doi.org/10.21437/interspeech.2019-3116)**Joon Son Chung, Bong‐Jin Lee, Icksang Han*38 citations*
160. **[Convolutional Neural Network-Based Speech Enhancement for Cochlear Implant Recipients ↗](https://doi.org/10.21437/interspeech.2019-1850)**Nursadul Mamun, Soheil Khorram, John H. L. Hansen*37 citations*
161. **[Deep Attention Gated Dilated Temporal Convolutional Networks with Intra-Parallel Convolutional Modules for End-to-End Monaural Speech Separation ↗](https://doi.org/10.21437/interspeech.2019-1373)**Ziqiang Shi, Huibin Lin, Liu Liu et al.*37 citations*
162. **[Deep Multitask Acoustic Echo Cancellation ↗](https://doi.org/10.21437/interspeech.2019-2908)**Amin Fazel, Mostafa El‐Khamy, Jungwon Lee*37 citations*
163. **[Improving Performance of End-to-End ASR on Numeric Sequences ↗](https://doi.org/10.21437/interspeech.2019-1345)**Cal Peyser, Hao Zhang, Tara N. Sainath et al.*37 citations*
164. **[Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech ↗](https://doi.org/10.21437/interspeech.2019-1206)**Daniel Korzekwa, Roberto Barra-Chicote, Bożena Kostek et al.*37 citations*
165. **[On the Choice of Modeling Unit for Sequence-to-Sequence Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-2277)**Kazuki Irie, Rohit Prabhavalkar, Anjuli Kannan et al.*37 citations*
166. **[Open-Vocabulary Keyword Spotting with Audio and Text Embeddings ↗](https://doi.org/10.21437/interspeech.2019-1846)**Niccolò Sacchi, Alexandre Nanchen, Martin Jaggi et al.*37 citations*
167. **[Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis Through Audio Analysis ↗](https://doi.org/10.21437/interspeech.2019-1426)**Noé Tits, Fengna Wang, Kevin El Haddad et al.*37 citations*
168. **[Adversarial Regularization for End-to-End Robust Speaker Verification ↗](https://doi.org/10.21437/interspeech.2019-2983)**Qing Wang, Pengcheng Guo, Sining Sun et al.*36 citations*
169. **[Analysis of Deep Clustering as Preprocessing for Automatic Speech Recognition of Sparsely Overlapping Speech ↗](https://doi.org/10.21437/interspeech.2019-1728)**Tobias Menne, Ilya Sklyar, Ralf Schlüter et al.*36 citations*
170. **[Auxiliary Interference Speaker Loss for Target-Speaker Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-1126)**Naoyuki Kanda, Shota Horiguchi, Ryoichi Takashima et al.*36 citations*
171. **[Deep Learning of Segment-Level Feature Representation with Multiple Instance Learning for Utterance-Level Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2019-1968)**Shuiyang Mao, P.C. Ching, Tan Lee*36 citations*
172. **[Emotion Recognition from Natural Phone Conversations in Individuals with and without Recent Suicidal Ideation ↗](https://doi.org/10.21437/interspeech.2019-1830)**John Gideon, Heather T. Schatten, Melvin G. McInnis et al.*36 citations*
173. **[Music Genre Classification Using Duplicated Convolutional Layers in Neural Networks ↗](https://doi.org/10.21437/interspeech.2019-1298)**Hansi Yang, Wei-Qiang Zhang*36 citations*
174. **[Noisy BiLSTM-Based Models for Disfluency Detection ↗](https://doi.org/10.21437/interspeech.2019-1336)**Nguyễn Bách, Fei Huang*36 citations*
175. **[Automatic Hierarchical Attention Neural Network for Detecting AD ↗](https://doi.org/10.21437/interspeech.2019-1799)**Yilin Pan, Bahman Mirheidari, Markus Reuber et al.*35 citations*
176. **[Improving ASR Systems for Children with Autism and Language Impairment Using Domain-Focused DNN Transfer Techniques ↗](https://doi.org/10.21437/interspeech.2019-3161)**Robert C. Gale, Liu Chen, Jill K. Dolata et al.*35 citations*
177. **[Conversational Emotion Analysis via Attention Mechanisms ↗](https://doi.org/10.21437/interspeech.2019-1577)**Zheng Lian, Jianhua Tao, Bin Liu et al.*34 citations*
178. **[Data Augmentation Using Variational Autoencoder for Embedding Based Speaker Verification ↗](https://doi.org/10.21437/interspeech.2019-2248)**Zhanghao Wu, Shuai Wang, Yanmin Qian et al.*34 citations*
179. **[Gender De-Biasing in Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2019-1708)**Cristina Gorrostieta, Reza Lotfian, Kye M. Taylor et al.*34 citations*
180. **[Improved Speech Separation with Time-and-Frequency Cross-Domain Joint Embedding and Clustering ↗](https://doi.org/10.21437/interspeech.2019-2181)**Gene-Ping Yang, Chao-I Tuan, Hung-yi Lee et al.*34 citations*
181. **[Target Speaker Extraction for Multi-Talker Speaker Verification ↗](https://doi.org/10.21437/interspeech.2019-1410)**Wei Rao, Chenglin Xu, Eng Siong Chng et al.*34 citations*
182. **[The JHU Speaker Recognition System for the VOiCES 2019 Challenge ↗](https://doi.org/10.21437/interspeech.2019-2979)**David Snyder, Jesús Villalba, Nanxin Chen et al.*34 citations*
183. **[A Study of x-Vector Based Speaker Recognition on Short Utterances ↗](https://doi.org/10.21437/interspeech.2019-1891)**Ahilan Kanagasundaram, Sridha Sridharan, G. Sriram et al.*33 citations*
184. **[Advances in Automatic Speech Recognition for Child Speech Using Factored Time Delay Neural Network ↗](https://doi.org/10.21437/interspeech.2019-2980)**Fei Wu, Leibny Paola Garcia, Daniel Povey et al.*33 citations*
185. **[Disfluencies and Human Speech Transcription Errors ↗](https://doi.org/10.21437/interspeech.2019-3134)**Vicky Zayats, Trang Tran, RICHARD A. WRIGHT et al.*33 citations*
186. **[Learn Spelling from Teachers: Transferring Knowledge from Language Models to Sequence-to-Sequence Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-1554)**Ye Bai, Jiangyan Yi, Jianhua Tao et al.*33 citations*
187. **[Multi-Modal Sentiment Analysis Using Deep Canonical Correlation Analysis ↗](https://doi.org/10.21437/interspeech.2019-2482)**Zhongkai Sun, Prathusha K Sarma, William A. Sethares et al.*33 citations*
188. **[Singing Voice Synthesis Using Deep Autoregressive Neural Networks for Acoustic Modeling ↗](https://doi.org/10.21437/interspeech.2019-1563)**Yuanhao Yi, Yang Ai, Zhen-Hua Ling et al.*33 citations*
189. **[Analyzing Phonetic and Graphemic Representations in End-to-End Automatic Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-2599)**Yonatan Belinkov, Ahmed M. Abdelatty Ali, James Glass*32 citations*
190. **[Continuous Emotion Recognition in Speech — Do We Need Recurrence? ↗](https://doi.org/10.21437/interspeech.2019-2710)**Maximilian Schmitt, Nicholas Cummins, Björn Wolfgang Schuller*32 citations*
191. **[Adversarial Optimization for Dictionary Attacks on Speaker Verification ↗](https://doi.org/10.21437/interspeech.2019-2430)**Mirko Marras, Paweł Korus, Nasir D. Memon et al.*31 citations*
192. **[An Attention-Based Hybrid Network for Automatic Detection of Alzheimer’s Disease from Narrative Speech ↗](https://doi.org/10.21437/interspeech.2019-2872)**Jun Chen, Ji Zhu, Jieping Ye*31 citations*
193. **[Deep Hierarchical Fusion with Application in Sentiment Analysis ↗](https://doi.org/10.21437/interspeech.2019-3243)**Efthymios Georgiou, Charilaos Papaioannou, Alexandros Potamianos*31 citations*
194. **[Far-Field End-to-End Text-Dependent Speaker Verification Based on Mixed Training Data with Transfer Learning and Enrollment Data Augmentation ↗](https://doi.org/10.21437/interspeech.2019-1542)**Xiaoyi Qin, Danwei Cai, Ming Li*31 citations*
195. **[Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson’s Disease ↗](https://doi.org/10.21437/interspeech.2019-2993)**Laureano Moro-Velázquez, JaeJin Cho, Shinji Watanabe et al.*31 citations*
196. **[The 2019 Inaugural Fearless Steps Challenge: A Giant Leap for Naturalistic Audio ↗](https://doi.org/10.21437/interspeech.2019-2301)**John H. L. Hansen, Aditya Joglekar, Meena Chandra Shekar et al.*31 citations*
197. **[Towards Generalized Speech Enhancement with Generative Adversarial Networks ↗](https://doi.org/10.21437/interspeech.2019-2688)**Santiago Pascual, Joan Serrà, Antonio Bonafonte*31 citations*
198. **[Vectorized Beam Search for CTC-Attention-Based Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-2860)**Hiroshi Seki, Takaaki Hori, Shinji Watanabe et al.*31 citations*
199. **[Attentive to Individual: A Multimodal Emotion Recognition Network with Personalized Attention Profile ↗](https://doi.org/10.21437/interspeech.2019-2044)**Jeng-Lin Li, Chi-Chun Lee*30 citations*
200. **[Forget a Bit to Learn Better: Soft Forgetting for CTC-Based Automatic Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-2841)**Kartik Audhkhasi, George Saon, Zoltán Tüske et al.*30 citations*

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