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title: "Interspeech 2020 — all accepted papers, page 10"
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# Interspeech 2020: all accepted papers

1,030 papers · page 10 of 11 · the most cited first · [← Interspeech 2020](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2020/)

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901. **[Language Model Data Augmentation Based on Text Domain Transfer ↗](https://doi.org/10.21437/interspeech.2020-1524)**Atsunori Ogawa, Naohiro Tawara, Marc Delcroix*2 citations*
902. **[Making a Distinction Between Schizophrenia and Bipolar Disorder Based on Temporal Parameters in Spontaneous Speech ↗](https://doi.org/10.21437/interspeech.2020-0049)**Gábor Gosztolya, Anita Bagi, Szilvia Szalóki et al.*2 citations*
903. **[Multi-Task Learning for Voice Related Recognition Tasks ↗](https://doi.org/10.21437/interspeech.2020-1857)**Ana R. Montalvo, José Ramón Calvo, Jean-François Bonastre*2 citations*
904. **[Multi-Task Siamese Neural Network for Improving Replay Attack Detection ↗](https://doi.org/10.21437/interspeech.2020-0086)**Patrick von Platen, Fei Tao, Gökhan Tür*2 citations*
905. **[Non-Autoregressive End-to-End TTS with Coarse-to-Fine Decoding ↗](https://doi.org/10.21437/interspeech.2020-1662)**Tao Wang, Xuefei Liu, Jianhua Tao et al.*2 citations*
906. **[Nonlinear ISA with Auxiliary Variables for Learning Speech Representations ↗](https://doi.org/10.21437/interspeech.2020-3050)**Amrith Setlur, Barnabás Póczos, Alan W. Black*2 citations*
907. **[Nonparallel Training of Exemplar-Based Voice Conversion System Using INCA-Based Alignment Technique ↗](https://doi.org/10.21437/interspeech.2020-1232)**Hitoshi Suda, Gaku Kotani, Daisuke Saito*2 citations*
908. **[Phonetic Accommodation of L2 German Speakers to the Virtual Language Learning Tutor Mirabella ↗](https://doi.org/10.21437/interspeech.2020-2701)**Iona Gessinger, Bernd Möbius, Bistra Andreeva et al.*2 citations*
909. **[Scaling Processes of Clause Chains in Pitjantjatjara ↗](https://doi.org/10.21437/interspeech.2020-2101)**Rebecca Defina, Catalina Torres, Hywel Martin Stoakes*2 citations*
910. **[Semi-Supervised Learning for Character Expression of Spoken Dialogue Systems ↗](https://doi.org/10.21437/interspeech.2020-2293)**Kenta Yamamoto, Koji Inoue, Tatsuya Kawahara*2 citations*
911. **[Similarity-and-Independence-Aware Beamformer: Method for Target Source Extraction Using Magnitude Spectrogram as Reference ↗](https://doi.org/10.21437/interspeech.2020-1365)**Atsuo Hiroe*2 citations*
912. **[Simulating Realistically-Spatialised Simultaneous Speech Using Video-Driven Speaker Detection and the CHiME-5 Dataset ↗](https://doi.org/10.21437/interspeech.2020-2807)**Jack Deadman, Jon Barker*2 citations*
913. **[Simultaneous Conversion of Speaker Identity and Emotion Based on Multiple-Domain Adaptive RBM ↗](https://doi.org/10.21437/interspeech.2020-2262)**Takuya Kishida, Tsukamoto Shin, Toru Nakashika*2 citations*
914. **[Single-Channel Speech Enhancement by Subspace Affinity Minimization ↗](https://doi.org/10.21437/interspeech.2020-2982)**Dung N. Tran, Kazuhito Koishida*2 citations*
915. **[Speaker Adaptive Training for Speech Recognition Based on Attention-Over-Attention Mechanism ↗](https://doi.org/10.21437/interspeech.2020-1727)**Genshun Wan, Jia Pan, Qingran Wang et al.*2 citations*
916. **[Spectral Moment and Duration of Burst of Plosives in Speech of Children with Hearing Impairment and Typically Developing Children — A Comparative Study ↗](https://doi.org/10.21437/interspeech.2020-1805)**Ajish K. Abraham, M. Pushpavathi, N. Sreedevi et al.*2 citations*
917. **[Stochastic Convolutional Recurrent Networks for Language Modeling ↗](https://doi.org/10.21437/interspeech.2020-1493)**Jen‐Tzung Chien, Yu-Min Huang*2 citations*
918. **[Subband Kalman Filtering with DNN Estimated Parameters for Speech Enhancement ↗](https://doi.org/10.21437/interspeech.2020-1913)**Hongjiang Yu, Wei‐Ping Zhu, Benoı̂t Champagne*2 citations*
919. **[Subjective Quality Evaluation of Speech Signals Transmitted via BPL-PLC Wired System ↗](https://doi.org/10.21437/interspeech.2020-1077)**Przemysław Falkowski‐Gilski, Grzegorz Debita, Marcin Habrych et al.*2 citations*
920. **[Testing the Limits of Representation Mixing for Pronunciation Correction in End-to-End Speech Synthesis ↗](https://doi.org/10.21437/interspeech.2020-2618)**Jason Fong, Jason Taylor, Simon King*2 citations*
921. **[The Effect of Language Proficiency on the Perception of Segmental Foreign Accent ↗](https://doi.org/10.21437/interspeech.2020-1023)**Rubén Pérez-Ramón, María Luisa García Lecumberri, Martin P. Cooke*2 citations*
922. **[The TalTech Systems for the Short-Duration Speaker Verification Challenge 2020 ↗](https://doi.org/10.21437/interspeech.2020-2233)**Tanel Alumäe, Jörgen Valk*2 citations*
923. **[The XMUSPEECH System for Short-Duration Speaker Verification Challenge 2020 ↗](https://doi.org/10.21437/interspeech.2020-1704)**Tao Jiang, Miao Zhao, Lin Li et al.*2 citations*
924. **[The XMUSPEECH System for the AP19-OLR Challenge ↗](https://doi.org/10.21437/interspeech.2020-1923)**Zheng Li, Miao Zhao, Jing Li et al.*2 citations*
925. **[Using Silence MR Image to Synthesise Dynamic MRI Vocal Tract Data of CV ↗](https://doi.org/10.21437/interspeech.2020-1173)**Ioannis Douros, Ajinkya Kulkarni, Chrysanthi Dourou et al.*2 citations*
926. **[VOP Detection in Variable Speech Rate Condition ↗](https://doi.org/10.21437/interspeech.2020-2326)**Ayush Agarwal, Jagabandhu Mishra, S. R. Mahadeva Prasanna*2 citations*
927. **[Virtual Acoustic Channel Expansion Based on Neural Networks for Weighted Prediction Error-Based Speech Dereverberation ↗](https://doi.org/10.21437/interspeech.2020-1553)**Joon‐Young Yang, Joon‐Hyuk Chang*2 citations*
928. **[Why Did the x-Vector System Miss a Target Speaker? Impact of Acoustic Mismatch Upon Target Score on VoxCeleb Data ↗](https://doi.org/10.21437/interspeech.2020-2715)**Rosa González Hautamäki, Tomi Kinnunen*2 citations*
929. **[A Cyclical Post-Filtering Approach to Mismatch Refinement of Neural Vocoder for Text-to-Speech Systems ↗](https://doi.org/10.21437/interspeech.2020-1072)**Yi-Chiao Wu, Patrick Lumban Tobing, Kazuki Yasuhara et al.*1 citation*
930. **[A Hybrid HMM-Waveglow Based Text-to-Speech Synthesizer Using Histogram Equalization for Low Resource Indian Languages ↗](https://doi.org/10.21437/interspeech.2020-3180)**Mano Ranjith Kumar M., Sudhanshu Srivastava, Anusha Prakash et al.*1 citation*
931. **[A Noise Robust Technique for Detecting Vowels in Speech Signals ↗](https://doi.org/10.21437/interspeech.2020-1204)**Avinash Kumar, Syed Shahnawazuddin, Waquar Ahmad*1 citation*
932. **[An Utterance Verification System for Word Naming Therapy in Aphasia ↗](https://doi.org/10.21437/interspeech.2020-2265)**David S. Barbera, Mark A. Huckvale, Victoria Fleming et al.*1 citation*
933. **[Analyzing Read Aloud Speech by Primary School Pupils: Insights for Research and Development ↗](https://doi.org/10.21437/interspeech.2020-2804)**S. Limonard, Catia Cucchiarini A, Roeland W. N. M. van Hout et al.*1 citation*
934. **[Aphasic Speech Recognition Using a Mixture of Speech Intelligibility Experts ↗](https://doi.org/10.21437/interspeech.2020-2049)**Matthew Perez, Zakaria Aldeneh, Emily Mower Provost*1 citation*
935. **[Audiovisual Correspondence Learning in Humans and Machines ↗](https://doi.org/10.21437/interspeech.2020-2674)**Venkat Krishnamohan, Akshara Soman, Anshul Gupta et al.*1 citation*
936. **[Automatic Glottis Detection and Segmentation in Stroboscopic Videos Using Convolutional Networks ↗](https://doi.org/10.21437/interspeech.2020-2599)**Divya Degala, Achuth Rao M. V., Rahul Krishnamurthy et al.*1 citation*
937. **[Can Auditory Nerve Models Tell us What’s Different About WaveNet Vocoded Speech? ↗](https://doi.org/10.21437/interspeech.2020-2596)**Sébastien Le Maguer, Naomi Harte*1 citation*
938. **[Coarticulation as Synchronised Sequential Target Approximation: An EMA Study ↗](https://doi.org/10.21437/interspeech.2020-1432)**Zirui Liu, Yi Xu, Feng-fan Hsieh*1 citation*
939. **[Comparing EEG Analyses with Different Epoch Alignments in an Auditory Lexical Decision Experiment ↗](https://doi.org/10.21437/interspeech.2020-2450)**Louis ten Bosch, Kimberley Mulder, Lou Boves*1 citation*
940. **[Contemporary Polish Language Model (Version 2) Using Big Data and Sub-Word Approach ↗](https://doi.org/10.21437/interspeech.2020-1207)**Krzysztof Wołk*1 citation*
941. **[Context Dependent RNNLM for Automatic Transcription of Conversations ↗](https://doi.org/10.21437/interspeech.2020-1813)**Srikanth Raj Chetupalli, Sriram Ganapathy*1 citation*
942. **[Detecting and Analysing Spontaneous Oral Cancer Speech in the Wild ↗](https://doi.org/10.21437/interspeech.2020-1598)**Bence Mark Halpern, R.J.J.H. van Son, Michiel W. M. van den Brekel et al.*1 citation*
943. **[Domain Adversarial Neural Networks for Dysarthric Speech Recognition ↗](https://doi.org/10.21437/interspeech.2020-2845)**Dominika C Woszczyk, Stavros Petridis, David E. Millard*1 citation*
944. **[Effect of Adding Positional Information on Convolutional Neural Networks for End-to-End Speech Recognition ↗](https://doi.org/10.21437/interspeech.2020-3163)**Jin-Hwan Park, Wonyong Sung*1 citation*
945. **[Entity Linking for Short Text Using Structured Knowledge Graph via Multi-Grained Text Matching ↗](https://doi.org/10.21437/interspeech.2020-1934)**Binxuan Huang, Han Wang, Tong Wang et al.*1 citation*
946. **[Extrapolating False Alarm Rates in Automatic Speaker Verification ↗](https://doi.org/10.21437/interspeech.2020-1090)**Alexey Sholokhov, Tomi Kinnunen, Ville Vestman et al.*1 citation*
947. **[F0 Slope and Mean: Cues to Speech Segmentation in French ↗](https://doi.org/10.21437/interspeech.2020-2509)**Mar Cordero-Rull, Fanny Meunier, Nicolas Grimault et al.*1 citation*
948. **[Frame-Wise Online Unsupervised Adaptation of DNN-HMM Acoustic Model from Perspective of Robust Adaptive Filtering ↗](https://doi.org/10.21437/interspeech.2020-1301)**Ryu Takeda, Kazunori Komatani*1 citation*
949. **[Generic Indic Text-to-Speech Synthesisers with Rapid Adaptation in an End-to-End Framework ↗](https://doi.org/10.21437/interspeech.2020-2663)**Anusha Prakash, Hema A. Murthy*1 citation*
950. **[Glottal Closure Instants Detection from EGG Signal by Classification Approach ↗](https://doi.org/10.21437/interspeech.2020-1189)**Gurunath Reddy M., K. Sreenivasa Rao, Partha Pratim Das*1 citation*
951. **[How Ordinal Are Your Data? ↗](https://doi.org/10.21437/interspeech.2020-2030)**Sadari Jayawardena, Julien Epps, Zhaocheng Huang*1 citation*
952. **[Improved Learning of Word Embeddings with Word Definitions and Semantic Injection ↗](https://doi.org/10.21437/interspeech.2020-1702)**Yichi Zhang, Yinpei Dai, Zhijian Ou et al.*1 citation*
953. **[Improved Training Strategies for End-to-End Speech Recognition in Digital Voice Assistants ↗](https://doi.org/10.21437/interspeech.2020-2036)**Hitesh Tulsiani, Ashtosh Sapru, Harish Arsikere et al.*1 citation*
954. **[Improving Partition-Block-Based Acoustic Echo Canceler in Under-Modeling Scenarios ↗](https://doi.org/10.21437/interspeech.2020-2479)**Wenzhi Fan, Jing Zhou Lu*1 citation*
955. **[Improving Replay Detection System with Channel Consistency DenseNeXt for the ASVspoof 2019 Challenge ↗](https://doi.org/10.21437/interspeech.2020-1044)**Chao Zhang, Junjie Cheng, Yanmei Gu et al.*1 citation*
956. **[Improving Speech Intelligibility Through Speaker Dependent and Independent Spectral Style Conversion ↗](https://doi.org/10.21437/interspeech.2020-0054)**Tuan Dinh, Alexander B. Kain, Kris Tjaden*1 citation*
957. **[Improving Unsupervised Sparsespeech Acoustic Models with Categorical Reparameterization ↗](https://doi.org/10.21437/interspeech.2020-2629)**Benjamin Milde, Chris Biemann*1 citation*
958. **[Improving the Performance of Acoustic-to-Articulatory Inversion by Removing the Training Loss of Noncritical Portions of Articulatory Channels Dynamically ↗](https://doi.org/10.21437/interspeech.2020-1187)**Qiang Fang*1 citation*
959. **[Incremental Machine Speech Chain Towards Enabling Listening While Speaking in Real-Time ↗](https://doi.org/10.21437/interspeech.2020-2034)**Sashi Novitasari, Andros Tjandra, Tomoya Yanagita et al.*1 citation*
960. **[Investigation of NICT Submission for Short-Duration Speaker Verification Challenge 2020 ↗](https://doi.org/10.21437/interspeech.2020-2351)**Peng Shen, Xugang Lu, Hisashi Kawai*1 citation*
961. **[Learning Contextual Language Embeddings for Monaural Multi-Talker Speech Recognition ↗](https://doi.org/10.21437/interspeech.2020-2015)**Wangyou Zhang, Yanmin Qian*1 citation*
962. **[Lexical Stress in Urdu ↗](https://doi.org/10.21437/interspeech.2020-2942)**Benazir Mumtaz, Tina Bögel, Miriam Butt*1 citation*
963. **[Links Between Production and Perception of Glottalisation in Individual Australian English Speaker/Listeners ↗](https://doi.org/10.21437/interspeech.2020-1175)**Joshua Penney, Felicity Cox, Anita Szakay*1 citation*
964. **[Mobile-Assisted Prosody Training for Limited English Proficiency: Learner Background and Speech Learning Pattern ↗](https://doi.org/10.21437/interspeech.2020-2901)**Kevin Hirschi, Okim Kang, Catia Cucchiarini A et al.*1 citation*
965. **[Neural Speech Completion ↗](https://doi.org/10.21437/interspeech.2020-2110)**Kazuki Tsunematsu, Johanes Effendi, Sakriani Sakti et al.*1 citation*
966. **[Neutral Tone in Changde Mandarin ↗](https://doi.org/10.21437/interspeech.2020-1257)**Zhenrui Zhang, Fang Hu*1 citation*
967. **[Neutralization of Voicing Distinction of Stops in Tohoku Dialects of Japanese: Field Work and Acoustic Measurements ↗](https://doi.org/10.21437/interspeech.2020-3191)**Ai Mizoguchi, Ayako Hashimoto, Sanae Matsui et al.*1 citation*
968. **[Ongoing Phonologization of Word-Final Voicing Alternations in Two Romance Languages: Romanian and French ↗](https://doi.org/10.21437/interspeech.2020-1460)**Mathilde Hutin, Adèle Jatteau, Ioana Vasilescu et al.*1 citation*
969. **[Pardon the Interruption: An Analysis of Gender and Turn-Taking in U.S. Supreme Court Oral Arguments ↗](https://doi.org/10.21437/interspeech.2020-2964)**Haley Lepp, Gina‐Anne Levow*1 citation*
970. **[Perception and Production of Mandarin Initial Stops by Native Urdu Speakers ↗](https://doi.org/10.21437/interspeech.2020-1921)**Dan Du, Xianjin Zhu, Li Zhu et al.*1 citation*
971. **[Pitch Declination and Final Lowering in Northeastern Mandarin ↗](https://doi.org/10.21437/interspeech.2020-1987)**Ping Cui, Jianjing Kuang*1 citation*
972. **[Prosody and Breathing: A Comparison Between Rhetorical and Information-Seeking Questions in German and Brazilian Portuguese ↗](https://doi.org/10.21437/interspeech.2020-1607)**Jana Neitsch, Plínio Almeida Barbosa, Oliver Niebuhr*1 citation*
973. **[Releasing a Toolkit and Comparing the Performance of Language Embeddings Across Various Spoken Language Identification Datasets ↗](https://doi.org/10.21437/interspeech.2020-2706)**Matias Lindgren, Tommi Jauhiainen, Mikko Kurimo*1 citation*
974. **[Robust Text-Dependent Speaker Verification via Character-Level Information Preservation for the SdSV Challenge 2020 ↗](https://doi.org/10.21437/interspeech.2020-2183)**Sung Hwan Mun, Woo Hyun Kang, Min Hyun Han et al.*1 citation*
975. **[Speaker Code Based Speaker Adaptive Training Using Model Agnostic Meta-Learning ↗](https://doi.org/10.21437/interspeech.2020-2296)**Huaxin Wu, Genshun Wan, Jia Pan*1 citation*
976. **[Speaker Discrimination in Humans and Machines: Effects of Speaking Style Variability ↗](https://doi.org/10.21437/interspeech.2020-3004)**Amber Afshan, Jody E. Kreiman, Abeer A. Alwan*1 citation*
977. **[THUEE System for NIST SRE19 CTS Challenge ↗](https://doi.org/10.21437/interspeech.2020-1245)**Ruyun Li, Tianyu Liang, Dandan Song et al.*1 citation*
978. **[The Effect of Input on the Production of English Tense and Lax Vowels by Chinese Learners: Evidence from an Elementary School in China ↗](https://doi.org/10.21437/interspeech.2020-2595)**Mengrou Li, Ying Chen, Jie Cui*1 citation*
979. **[Two Different Mechanisms of Movable Mandible for Vocal-Tract Model with Flexible Tongue ↗](https://doi.org/10.21437/interspeech.2020-1159)**Takayuki Arai*1 citation*
980. **[Variation in Spectral Slope and Interharmonic Noise in Cantonese Tones ↗](https://doi.org/10.21437/interspeech.2020-1954)**Phil Rose*1 citation*
981. **[Very Short-Term Conflict Intensity Estimation Using Fisher Vectors ↗](https://doi.org/10.21437/interspeech.2020-2349)**Gábor Gosztolya*1 citation*
982. **[Acoustic Properties of Strident Fricatives at the Edges: Implications for Consonant Discrimination ↗](https://doi.org/10.21437/interspeech.2020-2913)**Louis-Marie Lorin, Lorenzo Maselli, Léo Varnet et al.
983. **[Anti-Aliasing Regularization in Stacking Layers ↗](https://doi.org/10.21437/interspeech.2020-1497)**Antoine Bruguier, Ananya Misra, Arun Narayanan et al.
984. **[Attention and Encoder-Decoder Based Models for Transforming Articulatory Movements at Different Speaking Rates ↗](https://doi.org/10.21437/interspeech.2020-2708)**Abhayjeet Singh, Aravind Illa, Prasanta Ghosh
985. **[CAM: Uninteresting Speech Detector ↗](https://doi.org/10.21437/interspeech.2020-1192)**Weiyi Lu, Yi Xu, Peng Yang et al.
986. **[Caption Alignment for Low Resource Audio-Visual Data ↗](https://doi.org/10.21437/interspeech.2020-3157)**Vighnesh Reddy Konda, Mayur Warialani, Rakesh Prasanth Achari et al.
987. **[Cross-Linguistic Perception of Utterances with Willingness and Reluctance in Mandarin by Korean L2 Learners ↗](https://doi.org/10.21437/interspeech.2020-1640)**Wenqian Li, Jung-Yueh Tu
988. **[Data Augmentation Using Prosody and False Starts to Recognize Non-Native Children’s Speech ↗](https://doi.org/10.21437/interspeech.2020-2199)**Hemant Kumar Kathania, Mittul Singh, Tamás Grósz et al.
989. **[Datasets and Benchmarks for Task-Oriented Log Dialogue Ranking Task ↗](https://doi.org/10.21437/interspeech.2020-1341)**Xinnuo Xu, Yizhe Zhang, Lars Lidén et al.
990. **[Deep F-Measure Maximization for End-to-End Speech Understanding ↗](https://doi.org/10.21437/interspeech.2020-1949)**Leda Sarı, Mark Hasegawa‐Johnson
991. **[Design and Development of a Human-Machine Dialog Corpus for the Automated Assessment of Conversational English Proficiency ↗](https://doi.org/10.21437/interspeech.2020-1988)**Vikram Ramanarayanan
992. **[Detecting Domain-Specific Credibility and Expertise in Text and Speech ↗](https://doi.org/10.21437/interspeech.2020-1518)**Shengli Hu
993. **[Discriminative Method to Extract Coarse Prosodic Structure and its Application for Statistical Phrase/Accent Command Estimation ↗](https://doi.org/10.21437/interspeech.2020-2566)**Yuma Shirahata, Daisuke Saito, Nobuaki Minematsu
994. **[Does French Listeners’ Ability to Use Accentual Information at the Word Level Depend on the Ear of Presentation? ↗](https://doi.org/10.21437/interspeech.2020-1263)**Amandine Michelas, Sophie Dufour
995. **[Does Lexical Retrieval Deteriorate in Patients with Mild Cognitive Impairment? Analysis of Brain Functional Network Will Tell ↗](https://doi.org/10.21437/interspeech.2020-2490)**Chongyuan Lian, Tianqi Wang, Mingxiao Gu et al.
996. **[Dynamic Speaker Representations Adjustment and Decoder Factorization for Speaker Adaptation in End-to-End Speech Synthesis ↗](https://doi.org/10.21437/interspeech.2020-1623)**Ruibo Fu, Jianhua Tao, Zhengqi Wen et al.
997. **[Effect of Spectral Complexity Reduction and Number of Instruments on Musical Enjoyment with Cochlear Implants ↗](https://doi.org/10.21437/interspeech.2020-3034)**Avamarie Brueggeman, John H. L. Hansen
998. **[Enhancing the Interaural Time Difference of Bilateral Cochlear Implants with the Temporal Limits Encoder ↗](https://doi.org/10.21437/interspeech.2020-2507)**Yangyang Wan, Huali Zhou, Qinglin Meng et al.
999. **[Exploiting Conic Affinity Measures to Design Speech Enhancement Systems Operating in Unseen Noise Conditions ↗](https://doi.org/10.21437/interspeech.2020-1269)**Pavlos Papadopoulos, Shrikanth Shri Narayanan
1000. **[Exploration of Audio Quality Assessment and Anomaly Localisation Using Attention Models ↗](https://doi.org/10.21437/interspeech.2020-1885)**Qiang Huang, Thomas Hain

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