---
title: "Interspeech 2019 — all accepted papers, page 9"
description: "All 914 papers of Interspeech 2019 · page 9 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 9 of 10 · the most cited first · [← Interspeech 2019](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2019/)

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801. **[Semi-Supervised Voice Conversion with Amortized Variational Inference ↗](https://doi.org/10.21437/interspeech.2019-1840)**Cory Stephenson, Gokce Keskin, Anil Thomas et al.*2 citations*
802. **[SparseSpeech: Unsupervised Acoustic Unit Discovery with Memory-Augmented Sequence Autoencoders ↗](https://doi.org/10.21437/interspeech.2019-2938)**Benjamin Milde, Chris Biemann*2 citations*
803. **[Speaker-Invariant Feature-Mapping for Distant Speech Recognition via Adversarial Teacher-Student Learning ↗](https://doi.org/10.21437/interspeech.2019-2136)**Long Wu, Hangting Chen, Li Wang et al.*2 citations*
804. **[Subjective Evaluation of Communicative Effort for Younger and Older Adults in Interactive Tasks with Energetic and Informational Masking ↗](https://doi.org/10.21437/interspeech.2019-2215)**Valerie L. Hazan, Outi Tuomainen, Linda Taschenberger*2 citations*
805. **[Subspace Pooling Based Temporal Features Extraction for Audio Event Recognition ↗](https://doi.org/10.21437/interspeech.2019-2047)**Qiuying Shi, Hui Luo, Jiqing Han*2 citations*
806. **[Target Speaker Recovery and Recognition Network with Average x-Vector and Global Training ↗](https://doi.org/10.21437/interspeech.2019-1692)**Wenjie Li, Pengyuan Zhang, Yonghong Yan*2 citations*
807. **[The Role of Voice Quality in the Perception of Prominence in Synthetic Speech ↗](https://doi.org/10.21437/interspeech.2019-2761)**Andy Murphy, Irena Yanushevskaya, Ailbhe Nı́ Chasaide et al.*2 citations*
808. **[Two Tiered Distributed Training Algorithm for Acoustic Modeling ↗](https://doi.org/10.21437/interspeech.2019-1859)**Pranav Ladkat, Oleg Ju. Rybakov, Radhika Arava et al.*2 citations*
809. **[V-to-V Coarticulation Induced Acoustic and Articulatory Variability of Vowels: The Effect of Pitch-Accent ↗](https://doi.org/10.21437/interspeech.2019-2890)**Andrea Deme, Márton Bartók, Tekla Etelka Gráczi et al.*2 citations*
810. **[Vocal Biomarker Assessment Following Pediatric Traumatic Brain Injury: A Retrospective Cohort Study ↗](https://doi.org/10.21437/interspeech.2019-1200)**Camille Noufi, Adam C. Lammert, Daryush D. Mehta et al.*2 citations*
811. **[A Neural Turn-Taking Model without RNN ↗](https://doi.org/10.21437/interspeech.2019-2270)**Chaoran Liu, Carlos Toshinori Ishi, Hiroshi Ishiguro*1 citation*
812. **[Aerodynamics and Lumped-Masses Combined with Delay Lines for Modeling Vertical and Anterior-Posterior Phase Differences in Pathological Vocal Fold Vibration ↗](https://doi.org/10.21437/interspeech.2019-2338)**Carlo Drioli, Philipp Aichinger*1 citation*
813. **[Are IP Initial Vowels Acoustically More Distinct? Results from LDA and CNN Classifications ↗](https://doi.org/10.21437/interspeech.2019-2153)**Fanny Guitard-Ivent, Gabriele Chignoli, Cécile Fougeron et al.*1 citation*
814. **[Articulation of Vowel Length Contrasts in Australian English ↗](https://doi.org/10.21437/interspeech.2019-2995)**Louise Ratko, Michael Proctor, Felicity Cox*1 citation*
815. **[Assessing Acoustic and Articulatory Dimensions of Speech Motor Adaptation with Random Forests ↗](https://doi.org/10.21437/interspeech.2019-1812)**Eugen Klein, Jana Brunner, Phil Hoole*1 citation*
816. **[Bootstrapping a Text Normalization System for an Inflected Language. Numbers as a Test Case ↗](https://doi.org/10.21437/interspeech.2019-2367)**Anna Bjørk Nikulásdóttir, Jón Guðnason*1 citation*
817. **[CNN-BLSTM Based Question Detection from Dialogs Considering Phase and Context Information ↗](https://doi.org/10.21437/interspeech.2019-1701)**Yuke Si, Longbiao Wang, Jianwu Dang et al.*1 citation*
818. **[Cognitive Factors in Thai-Naïve Mandarin Speakers’ Imitation of Thai Lexical Tones ↗](https://doi.org/10.21437/interspeech.2019-1403)**Juqiang Chen, Catherine T. Best, Mark Antoniou*1 citation*
819. **[Compensation for French Liquid Deletion During Auditory Sentence Processing ↗](https://doi.org/10.21437/interspeech.2019-2950)**Sharon Peperkamp A, Alvaro Martin Iturralde Zurita*1 citation*
820. **[Cross-Lingual Transfer Learning for Affective Spoken Dialogue Systems ↗](https://doi.org/10.21437/interspeech.2019-2163)**Kristijan Gjoreski, Aleksandar Gjoreski, Ivan Kraljevski et al.*1 citation*
821. **[Development of Robust Automated Scoring Models Using Adversarial Input for Oral Proficiency Assessment ↗](https://doi.org/10.21437/interspeech.2019-1711)**Su‐Youn Yoon, Chongmin Lee, Klaus Zechner et al.*1 citation*
822. **[Direct Neuron-Wise Fusion of Cognate Neural Networks ↗](https://doi.org/10.21437/interspeech.2019-1930)**Takashi Fukuda, Masayuki Suzuki, Gakuto Kurata*1 citation*
823. **[Do Hesitations Facilitate Processing of Partially Defective System Utterances? An Exploratory Eye Tracking Study ↗](https://doi.org/10.21437/interspeech.2019-2820)**Kristin Haake, Sarah Schimke, Simon Betz et al.*1 citation*
824. **[Dual Encoder Classifier Models as Constraints in Neural Text Normalization ↗](https://doi.org/10.21437/interspeech.2019-1135)**Ajda Gokcen, Hao Zhang, Richard Sproat*1 citation*
825. **[Duration Modeling with Global Phoneme-Duration Vectors ↗](https://doi.org/10.21437/interspeech.2019-2126)**Jinfu Ni, Yoshinori Shiga, Hisashi Kawai*1 citation*
826. **[Far-Field Speech Enhancement Using Heteroscedastic Autoencoder for Improved Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-2032)**Shashi Kumar, Shakti P. Rath*1 citation*
827. **[Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data ↗](https://doi.org/10.21437/interspeech.2019-2080)**Philipp Klumpp, Juan Camilo Vásquez-Correa, Tino Haderlein et al.*1 citation*
828. **[Improved Speaker-Dependent Separation for CHiME-5 Challenge ↗](https://doi.org/10.21437/interspeech.2019-1569)**Jian Wu, Yong Dong Xu, Shi-Xiong Zhang et al.*1 citation*
829. **[Improving Automatically Induced Lexicons for Highly Agglutinating Languages Using Data-Driven Morphological Segmentation ↗](https://doi.org/10.21437/interspeech.2019-2164)**Wiehan Agenbag, Thomas Niesler*1 citation*
830. **[Individual Difference of Relative Tongue Size and its Acoustic Effects ↗](https://doi.org/10.21437/interspeech.2019-2452)**Xiaohan Zhang, Chongke Bi, Kiyoshi Honda et al.*1 citation*
831. **[Interpreting and Improving Deep Neural SLU Models via Vocabulary Importance ↗](https://doi.org/10.21437/interspeech.2019-3184)**Yilin Shen, Wenhu Chen, Hongxia Jin*1 citation*
832. **[Investigating the Effects of Noisy and Reverberant Speech in Text-to-Speech Systems ↗](https://doi.org/10.21437/interspeech.2019-3104)**David Ayllón, Héctor A. Sánchez-Hevia, Carol Figueroa et al.*1 citation*
833. **[KL-Divergence Regularized Deep Neural Network Adaptation for Low-Resource Speaker-Dependent Speech Enhancement ↗](https://doi.org/10.21437/interspeech.2019-2426)**Li Chai, Jun Du, Chin‐Hui Lee*1 citation*
834. **[Latent Topic Attention for Domain Classification ↗](https://doi.org/10.21437/interspeech.2019-2228)**Peisong Huang, Peijie Huang, Wencheng Ai et al.*1 citation*
835. **[Lattice Re-Scoring During Manual Editing for Automatic Error Correction of ASR Transcripts ↗](https://doi.org/10.21437/interspeech.2019-1790)**Anna Vigdís Rúnarsdóttir, Inga Rún Helgadóttir, Jón Guðnason*1 citation*
836. **[Lyrics Recognition from Singing Voice Focused on Correspondence Between Voice and Notes ↗](https://doi.org/10.21437/interspeech.2019-1318)**Motoyuki Suzuki, Sho Tomita, Tomoki Morita*1 citation*
837. **[M2H-GAN: A GAN-Based Mapping from Machine to Human Transcripts for Speech Understanding ↗](https://doi.org/10.21437/interspeech.2019-2662)**Titouan Parcollet, Mohamed Morchid, Xavier Bost et al.*1 citation*
838. **[Maximum a posteriori Speech Enhancement Based on Double Spectrum ↗](https://doi.org/10.21437/interspeech.2019-1197)**Pejman Mowlaee, Daniel Scheran, Johannes Stahl et al.*1 citation*
839. **[Modification of Devoicing Error in Cleft Lip and Palate Speech ↗](https://doi.org/10.21437/interspeech.2019-2604)**Protima Nomo Sudro, S. R. Mahadeva Prasanna*1 citation*
840. **[Modulation Vectors as Robust Feature Representation for ASR in Domain Mismatched Conditions ↗](https://doi.org/10.21437/interspeech.2019-2723)**Samik Sadhu, Hynek Hermansky B*1 citation*
841. **[Multimodal Response Obligation Detection with Unsupervised Online Domain Adaptation ↗](https://doi.org/10.21437/interspeech.2019-1313)**Shota Horiguchi, Naoyuki Kanda, Kenji Nagamatsu*1 citation*
842. **[Nasal Consonant Discrimination in Infant- and Adult-Directed Speech ↗](https://doi.org/10.21437/interspeech.2019-1737)**Bogdan Ludusan, Annett B. Jorschick, Reiko Mazuka*1 citation*
843. **[Neural Transition Systems for Modeling Hierarchical Semantic Representations ↗](https://doi.org/10.21437/interspeech.2019-3075)**Riyaz Ahmad Bhat, John Chen, Rashmi Prasad et al.*1 citation*
844. **[Parameter Enhancement for MELP Speech Codec in Noisy Communication Environment ↗](https://doi.org/10.21437/interspeech.2019-3249)**Min-Jae Hwang, Hong-Goo Kang*1 citation*
845. **[Perceptual Evaluation of Early versus Late F0 Peaks in the Intonation Structure of Czech Question-Word Questions ↗](https://doi.org/10.21437/interspeech.2019-2082)**Pavel Šturm, Jan Volín*1 citation*
846. **[Phone Aware Nearest Neighbor Technique Using Spectral Transition Measure for Non-Parallel Voice Conversion ↗](https://doi.org/10.21437/interspeech.2019-1504)**Nirmesh J. Shah, Hemant A. Patil*1 citation*
847. **[Phonetic Detail Encoding in Explaining the Size of Speech Planning Window ↗](https://doi.org/10.21437/interspeech.2019-1412)**SHAN H. LUO*1 citation*
848. **[R2SPIN: Re-Recording the Revised Speech Perception in Noise Test ↗](https://doi.org/10.21437/interspeech.2019-1281)**Lauren Ward, Catherine Robinson, Matthew Paradis et al.*1 citation*
849. **[Recognition of Intentions of Users’ Short Responses for Conversational News Delivery System ↗](https://doi.org/10.21437/interspeech.2019-2121)**Hiroaki Takatsu, Katsuya Yokoyama, Yoichi Matsuyama et al.*1 citation*
850. **[Rescoring Keyword Search Confidence Estimates with Graph-Based Re-Ranking Using Acoustic Word Embeddings ↗](https://doi.org/10.21437/interspeech.2019-1817)**Anna Piunova, Eugen Beck, Ralf Schlüter et al.*1 citation*
851. **[Sampling from Stochastic Finite Automata with Applications to CTC Decoding ↗](https://doi.org/10.21437/interspeech.2019-2740)**Martin Jansche, Alexander Gutkin*1 citation*
852. **[Sentence Prosody and Wh-Indeterminates in Taiwan Mandarin ↗](https://doi.org/10.21437/interspeech.2019-2545)**Yu-Yin Hsu, Anqi Xu*1 citation*
853. **[Spot the Pleasant People! Navigating the Cocktail Party Buzz ↗](https://doi.org/10.21437/interspeech.2019-1553)**Christina Tånnander, Per Fallgren, Jens Edlund et al.*1 citation*
854. **[Super-Wideband Spectral Envelope Modeling for Speech Coding ↗](https://doi.org/10.21437/interspeech.2019-1620)**Guillaume Fuchs, Chamran Ashour, Tom Bäckström*1 citation*
855. **[Synchronising Audio and Ultrasound by Learning Cross-Modal Embeddings ↗](https://doi.org/10.21437/interspeech.2019-1804)**Aciel Eshky, Manuel Sam Ribeiro, Korin Richmond et al.*1 citation*
856. **[The Althingi ASR System ↗](https://doi.org/10.21437/interspeech.2019-1248)**Inga Rún Helgadóttir, Anna Bjørk Nikulásdóttir, Michal Borský et al.*1 citation*
857. **[The Contribution of Acoustic Features Analysis to Model Emotion Perceptual Process for Language Diversity ↗](https://doi.org/10.21437/interspeech.2019-2229)**Xingfeng Li, Masato Akagi*1 citation*
858. **[The DKU-SMIIP System for NIST 2018 Speaker Recognition Evaluation ↗](https://doi.org/10.21437/interspeech.2019-1436)**Danwei Cai, Weicheng Cai, Ming Li*1 citation*
859. **[The I2R’s ASR System for the VOiCES from a Distance Challenge 2019 ↗](https://doi.org/10.21437/interspeech.2019-2130)**Tze Yuang Chong, Kye Min Tan, Kah Kuan Teh et al.*1 citation*
860. **[The I2R’s Submission to VOiCES Distance Speaker Recognition Challenge 2019 ↗](https://doi.org/10.21437/interspeech.2019-1997)**Hanwu Sun, Kah Kuan Teh, Ivan Kukanov et al.*1 citation*
861. **[The Production of Chinese Affricates /ts/ and /tsh/ by Native Urdu Speakers ↗](https://doi.org/10.21437/interspeech.2019-1638)**Dan Du, Jinsong Zhang*1 citation*
862. **[Ultra-Compact NLU: Neuronal Network Binarization as Regularization ↗](https://doi.org/10.21437/interspeech.2019-2591)**Munir Georges, Krzysztof Czarnowski, Tobias Bocklet*1 citation*
863. **[Using the Bag-of-Audio-Word Feature Representation of ASR DNN Posteriors for Paralinguistic Classification ↗](https://doi.org/10.21437/interspeech.2019-1163)**Gábor Gosztolya*1 citation*
864. **[Variational Bayesian Multi-Channel Speech Dereverberation Under Noisy Environments with Probabilistic Convolutive Transfer Function ↗](https://doi.org/10.21437/interspeech.2019-1220)**Masahito Togami, Tatsuya Komatsu*1 citation*
865. **[A Study of Soprano Singing in Light of the Source-Filter Interaction ↗](https://doi.org/10.21437/interspeech.2019-1153)**Tokihiko Kaburagi
866. **[A Study of a Cross-Language Perception Based on Cortical Analysis Using Biomimetic STRFs ↗](https://doi.org/10.21437/interspeech.2019-2507)**Sang-Wook Park, David K. Han, Mounya Elhilali
867. **[Acoustic Characteristics of Lexical Tone Disruption in Mandarin Speakers After Brain Damage ↗](https://doi.org/10.21437/interspeech.2019-2432)**Wenjun Chen, Jeroen van de Weijer, Zhu Shuangshuang et al.
868. **[Analysis of Native Listeners’ Facial Microexpressions While Shadowing Non-Native Speech — Potential of Shadowers’ Facial Expressions for Comprehensibility Prediction ↗](https://doi.org/10.21437/interspeech.2019-1953)**Tasavat Trisitichoke, Shintaro Ando, Daisuke Saito et al.
869. **[Analyzing Intra-Speaker and Inter-Speaker Vocal Tract Impedance Characteristics in a Low-Dimensional Feature Space Using t-SNE ↗](https://doi.org/10.21437/interspeech.2019-1492)**B T Balamurali, Jer‐Ming Chen
870. **[Audio Tagging with Compact Feedforward Sequential Memory Network and Audio-to-Audio Ratio Based Data Augmentation ↗](https://doi.org/10.21437/interspeech.2019-1302)**Zhiying Huang, Shiliang Zhang, Ming Lei
871. **[Capturing L1 Influence on L2 Pronunciation by Simulating Perceptual Space Using Acoustic Features ↗](https://doi.org/10.21437/interspeech.2019-3183)**Shuju Shi, Chilin Shih, Jinsong Zhang
872. **[Consonant Classification in Mandarin Based on the Depth Image Feature: A Pilot Study ↗](https://doi.org/10.21437/interspeech.2019-1893)**Han-Chi Hsieh, Wei-Zhong Zheng, Ko-Chiang Chen et al.
873. **[Contributions of Consonant-Vowel Transitions to Mandarin Tone Identification in Simulated Electric-Acoustic Hearing ↗](https://doi.org/10.21437/interspeech.2019-1124)**Fei Chen
874. **[Effects of Base-Frequency and Spectral Envelope on Deep-Learning Speech Separation and Recognition Models ↗](https://doi.org/10.21437/interspeech.2019-1715)**J. Hui, Yue Wei, S.T. Chen et al.
875. **[Effects of Spectral and Temporal Cues to Mandarin Concurrent-Vowels Identification for Normal-Hearing and Hearing-Impaired Listeners ↗](https://doi.org/10.21437/interspeech.2019-3209)**Zhen Fu, Xihong H. Wu, Jing Chen
876. **[Excitation Source and Vocal Tract System Based Acoustic Features for Detection of Nasals in Continuous Speech ↗](https://doi.org/10.21437/interspeech.2019-2785)**Bhanu Teja Nellore, Sri Harsha Dumpala, Karan Nathwani et al.
877. **[Factorization of Discriminatively Trained i-Vector Extractor for Speaker Recognition ↗](https://doi.org/10.21437/interspeech.2019-1757)**Ondřej Novotný, Oldřich Plchot, Ondřej Glembek et al.
878. **[Frication as a Vowel Feature? — Evidence from the Rui’an Wu Chinese Dialect ↗](https://doi.org/10.21437/interspeech.2019-1134)**Fang Hu, Youjue He
879. **[Full-Sentence Correlation: A Method to Handle Unpredictable Noise for Robust Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-2127)**Ji Ming, Danny Crookes
880. **[Hybrid Arbitration Using Raw ASR String and NLU Information — Taking the Best of Both Embedded World and Cloud World ↗](https://doi.org/10.21437/interspeech.2019-2586)**Min Tang
881. **[Individual Differences in Implicit Attention to Phonetic Detail in Speech Perception ↗](https://doi.org/10.21437/interspeech.2019-2989)**Natalie Lewandowski, Daniel Durán
882. **[Individual Differences of Airflow and Sound Generation in the Vocal Tract of Sibilant /s/ ↗](https://doi.org/10.21437/interspeech.2019-1376)**Tsukasa Yoshinaga, Kazunori Nozaki, Shigeo Wada
883. **[Influence of Contextuality on Prosodic Realization of Information Structure in Chinese Dialogues ↗](https://doi.org/10.21437/interspeech.2019-2291)**Bin Li, Yuan Jia
884. **[Investigating the Physiological and Acoustic Contrasts Between Choral and Operatic Singing ↗](https://doi.org/10.21437/interspeech.2019-1864)**Hiroko Terasawa, Kenta Wakasa, Hideki Kawahara et al.
885. **[Joint Decoding of CTC Based Systems for Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-2026)**Jiaqi Guo, Yongbin You, Yanmin Qian et al.
886. **[Large-Scale Speaker Diarization of Radio Broadcast Archives ↗](https://doi.org/10.21437/interspeech.2019-1399)**Emre Yılmaz, Adem Derinel, Kun Zhou et al.
887. **[Lexically Guided Perceptual Learning of a Vowel Shift in an Interactive L2 Listening Context ↗](https://doi.org/10.21437/interspeech.2019-1414)**Emily R. Felker, Mirjam Ernestus, Mirjam Broersma
888. **[Listeners’ Ability to Identify the Gender of Preadolescent Children in Different Linguistic Contexts ↗](https://doi.org/10.21437/interspeech.2019-1865)**Shawn L. Nissen, Sharalee Ann Blunck, Anita Susan Dromey et al.
889. **[Low Resource Automatic Intonation Classification Using Gated Recurrent Unit (GRU) Networks Pre-Trained with Synthesized Pitch Patterns ↗](https://doi.org/10.21437/interspeech.2019-2351)**Atreyee Saha, Chiranjeevi Yarra, Prasanta Ghosh
890. **[Mitigating Gender and L1 Differences to Improve State and Trait Recognition ↗](https://doi.org/10.21437/interspeech.2019-2868)**Guozhen An, Rivka Levitan
891. **[Multi-Lingual Dialogue Act Recognition with Deep Learning Methods ↗](https://doi.org/10.21437/interspeech.2019-1691)**Jiřı́ Martı́nek, Pavel Král, Ladislav Lenc et al.
892. **[No Distributional Learning in Adults from Attended Listening to Non-Speech ↗](https://doi.org/10.21437/interspeech.2019-1674)**Ellen Marklund, Johan Sjons, Lisa Gustavsson et al.
893. **[On the Suitability of the Riesz Spectro-Temporal Envelope for WaveNet Based Speech Synthesis ↗](https://doi.org/10.21437/interspeech.2019-2626)**Jitendra Kumar Dhiman, Nagaraj Adiga, Chandra Sekhar Seelamantula
894. **[Perceiving Older Adults Producing Clear and Lombard Speech ↗](https://doi.org/10.21437/interspeech.2019-2210)**Chris Davis, Jeesun Kim
895. **[Phonological Awareness of French Rising Contours in Japanese Learners ↗](https://doi.org/10.21437/interspeech.2019-2856)**Rachel Albar, Hiyon Yoo
896. **[Pitch Accent Trajectories Across Different Conditions of Visibility and Information Structure — Evidence from Spontaneous Dyadic Interaction ↗](https://doi.org/10.21437/interspeech.2019-1619)**Petra Wagner, Nataliya Bryhadyr, Marin Schröer
897. **[Place Shift as an Autonomous Process: Evidence from Japanese Listeners ↗](https://doi.org/10.21437/interspeech.2019-2302)**Yuriko Yokoe
898. **[Real to H-Space Encoder for Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-1539)**Titouan Parcollet, Mohamed Morchid, Georges Linarès et al.
899. **[Spatial, Temporal and Spectral Multiresolution Analysis for the INTERSPEECH 2019 ComParE Challenge ↗](https://doi.org/10.21437/interspeech.2019-1693)**Marie-José Caraty, Claude Montacié
900. **[Speech Augmentation via Speaker-Specific Noise in Unseen Environment ↗](https://doi.org/10.21437/interspeech.2019-2712)**Yanan Guo, Ziping Zhao, Yide Ma et al.

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