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Interspeech 2019

965 papers

A Preliminary Study of Charismatic Speech on YouTube: Correlating Prosodic Variation with Counts of Subscribers, Views and Likes

Stephanie Berger, Oliver Niebuhr, Margaret Zellers

An Acoustic Study of Vowel Undershoot in a System with Several Degrees of Prominence

Janina Mołczanow, Beata Łukaszewicz, Anna Łukaszewicz

Neural Network-Based Modeling of Phonetic Durations

Xizi Wei, Melvyn Hunt, Adrian Skilling

Are IP Initial Vowels Acoustically More Distinct? Results from LDA and CNN Classifications

Fanny Guitard-Ivent, Gabriele Chignoli, Cécile Fougeron, Laurianne Georgeton

Cross-Lingual Consistency of Phonological Features: An Empirical Study

Cibu Johny, Alexander Gutkin, Martin Jansche

Prosodic Effects on Plosive Duration in German and Austrian German

Barbara Schuppler, Margaret Zellers

Acoustic Indicators of Deception in Mandarin Daily Conversations Recorded from an Interactive Game

Chih-Hsiang Huang, Huang-Cheng Chou, Yi-Tong Wu, Chi-Chun Lee, Yi-Wen Liu

“ Gra[f] e!” Word-Final Devoicing of Obstruents in Standard French: An Acoustic Study Based on Large Corpora

Adèle Jatteau, Ioana Vasilescu, Lori Lamel, Martine Adda-Decker, Nicolas Audibert

The Voicing Contrast in Stops and Affricates in the Western Armenian of Lebanon

Niamh E. Kelly, Lara Keshishian

Quantifying Fundamental Frequency Modulation as a Function of Language, Speaking Style and Speaker

Pablo Arantes, Anders Eriksson

The Monophthongs of Formal Nigerian English: An Acoustic Analysis

Nisad Jamakovic, Robert Fuchs

L2 Pronunciation Accuracy and Context: A Pilot Study on the Realization of Geminates in Italian as L2 by French Learners

Sonia d’Apolito, Barbara Gili Fivela

Learning Temporal Clusters Using Capsule Routing for Speech Emotion Recognition

Md. Asif Jalal, Erfan Loweimi, Roger K. Moore, Thomas Hain

Towards Discriminative Representations and Unbiased Predictions: Class-Specific Angular Softmax for Speech Emotion Recognition

Zhixuan Li, Liang He, Jingyang Li, Li Wang, Wei-Qiang Zhang

Towards Robust Speech Emotion Recognition Using Deep Residual Networks for Speech Enhancement

Andreas Triantafyllopoulos, Gil Keren, Johannes Wagner, Ingmar Steiner, Bjorn W. Schuller

Deep Learning of Segment-Level Feature Representation with Multiple Instance Learning for Utterance-Level Speech Emotion Recognition

Shuiyang Mao, P.C. Ching, Tan Lee

Enforcing Semantic Consistency for Cross Corpus Valence Regression from Speech Using Adversarial Discrepancy Learning

Gao-Yi Chao, Yun-Shao Lin, Chun-Min Chang, Chi-Chun Lee

Predicting Group Performances Using a Personality Composite-Network Architecture During Collaborative Task

Shun-Chang Zhong, Yun-Shao Lin, Chun-Min Chang, Yi-Ching Liu, Chi-Chun Lee

Speech Emotion Recognition in Dyadic Dialogues with Attentive Interaction Modeling

Jinming Zhao, Shizhe Chen, Jingjun Liang, Qin Jin

Employing Bottleneck and Convolutional Features for Speech-Based Physical Load Detection on Limited Data Amounts

Olga Egorow, Tarik Mrech, Norman Weißkirchen, Andreas Wendemuth

A Path Signature Approach for Speech Emotion Recognition

Bo Wang, Maria Liakata, Hao Ni, Terry Lyons, Alejo J. Nevado-Holgado

Analysis of Deep Learning Architectures for Cross-Corpus Speech Emotion Recognition

Jack Parry, Dimitri Palaz, Georgia Clarke, Pauline Lecomte, Rebecca Mead

Leveraging Acoustic Cues and Paralinguistic Embeddings to Detect Expression from Voice

Vikramjit Mitra, Sue Booker, Erik Marchi, David Scott Farrar, Ute Dorothea Peitz

Deep Hierarchical Fusion with Application in Sentiment Analysis

Efthymios Georgiou, Charilaos Papaioannou, Alexandros Potamianos

Framewise Supervised Training Towards End-to-End Speech Recognition Models: First Results

Mohan Li, Yuanjiang Cao, Weicong Zhou, Min Liu

Multi-Task CTC Training with Auxiliary Feature Reconstruction for End-to-End Speech Recognition

Gakuto Kurata, Kartik Audhkhasi

Exploring the Encoder Layers of Discriminative Autoencoders for LVCSR

Pin-Tuan Huang, Hung-Shin Lee, Syu-Siang Wang, Kuan-Yu Chen, Yu Tsao

Two Tiered Distributed Training Algorithm for Acoustic Modeling

Pranav Ladkat, Oleg Rybakov, Radhika Arava, Sree Hari Krishnan Parthasarathi, I-Fan Chen

Direct Neuron-Wise Fusion of Cognate Neural Networks

Takashi Fukuda, Masayuki Suzuki, Gakuto Kurata

Guiding CTC Posterior Spike Timings for Improved Posterior Fusion and Knowledge Distillation

Gakuto Kurata, Kartik Audhkhasi

Char+CV-CTC: Combining Graphemes and Consonant/Vowel Units for CTC-Based ASR Using Multitask Learning

Abdelwahab Heba, Thomas Pellegrini, Jean-Pierre Lorré, Régine Andre-Obrecht

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, Takafumi Moriya, Yusuke Ijima

Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR

Wilfried Michel, Ralf Schlüter, Hermann Ney

Lattice-Based Lightly-Supervised Acoustic Model Training

Joachim Fainberg, Ondrej Klejch, Steve Renals, Peter Bell

Detection of Glottal Closure Instants from Raw Speech Using Convolutional Neural Networks

Mohit Goyal, Varun Srivastava, Prathosh A.P.

Whether to Pretrain DNN or not?: An Empirical Analysis for Voice Conversion

Nirmesh J. Shah, Hardik B. Sailor, Hemant A. Patil

Acoustic Model Optimization Based on Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition

Xiaodong Cui, Michael Picheny

Unbiased Semi-Supervised LF-MMI Training Using Dropout

Sibo Tong, Apoorv Vyas, Philip N. Garner, Hervé Bourlard

Attention Model for Articulatory Features Detection

Ievgen Karaulov, Dmytro Tkanov

CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages

Kyubyong Park, Thomas Mulc

A Chinese Dataset for Identifying Speakers in Novels

Jia-Xiang Chen, Zhen-Hua Ling, Li-Rong Dai

A Multimodal Real-Time MRI Articulatory Corpus of French for Speech Research

Ioannis K. Douros, Jacques Felblinger, Jens Frahm, Karyna Isaieva, Arun A. Joseph

Using Pupil Dilation to Measure Cognitive Load When Listening to Text-to-Speech in Quiet and in Noise

Avashna Govender, Anita E. Wagner, Simon King

Investigating the Robustness of Sequence-to-Sequence Text-to-Speech Models to Imperfectly-Transcribed Training Data

Jason Fong, Pilar Oplustil Gallegos, Zack Hodari, Simon King

MOSNet: Deep Learning-Based Objective Assessment for Voice Conversion

Chen-Chou Lo, Szu-Wei Fu, Wen-Chin Huang, Xin Wang, Junichi Yamagishi

Evaluating Intention Communication by TTS Using Explicit Definitions of Illocutionary Act Performance

Nobukatsu Hojo, Noboru Miyazaki

Corpus Design Using Convolutional Auto-Encoder Embeddings for Audio-Book Synthesis

Meysam Shamsi, Damien Lolive, Nelly Barbot, Jonathan Chevelu

LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

Heiga Zen, Viet Dang, Rob Clark, Yu Zhang, Ron J. Weiss

All Together Now: The Living Audio Dataset

David A. Braude, Matthew P. Aylett, Caoimhín Laoide-Kemp, Simone Ashby, Kristen M. Scott

Selection and Training Schemes for Improving TTS Voice Built on Found Data

F.-Y. Kuo, I.C. Ouyang, S. Aryal, Pierre Lanchantin

Investigating the Effects of Noisy and Reverberant Speech in Text-to-Speech Systems

David Ayllón, Héctor A. Sánchez-Hevia, Carol Figueroa, Pierre Lanchantin

Speaker Recognition Benchmark Using the CHiME-5 Corpus

Daniel Garcia-Romero, David Snyder, Shinji Watanabe, Gregory Sell, Alan McCree

Pindrop Labs’ Submission to the First Multi-Target Speaker Detection and Identification Challenge

Elie Khoury, Khaled Lakhdhar, Andrew Vaughan, Ganesh Sivaraman, Parav Nagarsheth

I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences

Kong Aik Lee, Ville Hautamäki, Tomi H. Kinnunen, Hitoshi Yamamoto, Koji Okabe

x-Vector DNN Refinement with Full-Length Recordings for Speaker Recognition

Daniel Garcia-Romero, David Snyder, Gregory Sell, Alan McCree, Daniel Povey

State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18

Jesus Villalba, Nanxin Chen, David Snyder, Daniel Garcia-Romero, Alan McCree

The 2018 NIST Speaker Recognition Evaluation

Seyed Omid Sadjadi, Craig Greenberg, Elliot Singer, Douglas Reynolds, Lisa Mason

Active Learning for Domain Classification in a Commercial Spoken Personal Assistant

Xi C. Chen, Adithya Sagar, Justine T. Kao, Tony Y. Li, Christopher Klein

Discovering Dialog Rules by Means of an Evolutionary Approach

David Griol, Zoraida Callejas

BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer

Guan-Lin Chao, Ian Lane

Multi-Lingual Dialogue Act Recognition with Deep Learning Methods

Jiri Martinek, Pavel Kral, Ladislav Lenc, Christophe Cerisara

HyST: A Hybrid Approach for Flexible and Accurate Dialogue State Tracking

Rahul Goel, Shachi Paul, Dilek Hakkani-Tur

Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues

Shachi Paul, Rahul Goel, Dilek Hakkani-Tur

Assessing Neuromotor Coordination in Depression Using Inverted Vocal Tract Variables

Carol Espy-Wilson, Adam C. Lammert, Nadee Seneviratne, Thomas F. Quatieri

Detecting Depression with Word-Level Multimodal Fusion

Morteza Rohanian, Julian Hough, Matthew Purver

Into the Wild: Transitioning from Recognizing Mood in Clinical Interactions to Personal Conversations for Individuals with Bipolar Disorder

Katie Matton, Melvin G. McInnis, Emily Mower Provost

Objective Assessment of Social Skills Using Automated Language Analysis for Identification of Schizophrenia and Bipolar Disorder

Rohit Voleti, Stephanie Woolridge, Julie M. Liss, Melissa Milanovic, Christopher R. Bowie

Bag-of-Acoustic-Words for Mental Health Assessment: A Deep Autoencoding Approach

Wenchao Du, Louis-Philippe Morency, Jeffrey Cohn, Alan W. Black

Modeling Interpersonal Linguistic Coordination in Conversations Using Word Mover’s Distance

Md. Nasir, Sandeep Nallan Chakravarthula, Brian R.W. Baucom, David C. Atkins, Panayiotis Georgiou

Shallow-Fusion End-to-End Contextual Biasing

Ding Zhao, Tara N. Sainath, David Rybach, Pat Rondon, Deepti Bhatia

Trainable Dynamic Subsampling for End-to-End Speech Recognition

Shucong Zhang, Erfan Loweimi, Yumo Xu, Peter Bell, Steve Renals

Improving Transformer-Based End-to-End Speech Recognition with Connectionist Temporal Classification and Language Model Integration

Shigeki Karita, Nelson Enrique Yalta Soplin, Shinji Watanabe, Marc Delcroix, Atsunori Ogawa

Layer Trajectory BLSTM

Eric Sun, Jinyu Li, Yifan Gong

An Analysis of Local Monotonic Attention Variants

André Merboldt, Albert Zeyer, Ralf Schlüter, Hermann Ney

Multi-Span Acoustic Modelling Using Raw Waveform Signals

P. von Platen, Chao Zhang, P.C. Woodland

Using a Manifold Vocoder for Spectral Voice and Style Conversion

Tuan Dinh, Alexander Kain, Kris Tjaden

Listener Preference on the Local Criterion for Ideal Binary-Masked Speech

Zhuohuang Zhang, Yi Shen

Improvement and Assessment of Spectro-Temporal Modulation Analysis for Speech Intelligibility Estimation

Amin Edraki, Wai-Yip Chan, Jesper Jensen, Daniel Fogerty

Evaluating Near End Listening Enhancement Algorithms in Realistic Environments

Carol Chermaz, Cassia Valentini-Botinhao, Henning Schepker, Simon King

Survey Talk: Preserving Privacy in Speaker and Speech Characterisation

Andreas Nautsch

WHAM!: Extending Speech Separation to Noisy Environments

Gordon Wichern, Joe Antognini, Michael Flynn, Licheng Richard Zhu, Emmett McQuinn

Improved Speech Separation with Time-and-Frequency Cross-Domain Joint Embedding and Clustering

Gene-Ping Yang, Chao-I Tuan, Hung-yi Lee, Lin-shan Lee

Speech Separation Using Independent Vector Analysis with an Amplitude Variable Gaussian Mixture Model

Zhaoyi Gu, Jing LU, Kai Chen

Practical Applicability of Deep Neural Networks for Overlapping Speaker Separation

Pieter Appeltans, Jeroen Zegers, Hugo Van hamme

Recursive Speech Separation for Unknown Number of Speakers

Naoya Takahashi, Sudarsanam Parthasaarathy, Nabarun Goswami, Yuki Mitsufuji

A Unified Bayesian Source Modelling for Determined Blind Source Separation

Chaitanya Narisetty

Latent Topic Attention for Domain Classification

Peisong Huang, Peijie Huang, Wencheng Ai, Jiande Ding, Jinchuan Zhang

Assessing the Semantic Space Bias Caused by ASR Error Propagation and its Effect on Spoken Document Summarization

Máté Ákos Tündik, Valér Kaszás, György Szaszák

Interpreting and Improving Deep Neural SLU Models via Vocabulary Importance

Yilin Shen, Wenhu Chen, Hongxia Jin

Multi-Modal Sentiment Analysis Using Deep Canonical Correlation Analysis

Zhongkai Sun, Prathusha K. Sarma, William Sethares, Erik P. Bucy

Self Attention in Variational Sequential Learning for Summarization

Jen-Tzung Chien, Chun-Wei Wang

Fusion Strategy for Prosodic and Lexical Representations of Word Importance

Sushant Kafle, Cecilia Ovesdotter Alm, Matt Huenerfauth

Real-Time Neural Text-to-Speech with Sequence-to-Sequence Acoustic Model and WaveGlow or Single Gaussian WaveRNN Vocoders

Takuma Okamoto, Tomoki Toda, Yoshinori Shiga, Hisashi Kawai

Training Multi-Speaker Neural Text-to-Speech Systems Using Speaker-Imbalanced Speech Corpora

Hieu-Thi Luong, Xin Wang, Junichi Yamagishi, Nobuyuki Nishizawa

Joint Training Framework for Text-to-Speech and Voice Conversion Using Multi-Source Tacotron and WaveNet

Mingyang Zhang, Xin Wang, Fuming Fang, Haizhou Li, Junichi Yamagishi

Robust Sequence-to-Sequence Acoustic Modeling with Stepwise Monotonic Attention for Neural TTS

Mutian He, Yan Deng, Lei He

A New GAN-Based End-to-End TTS Training Algorithm

Haohan Guo, Frank K. Soong, Lei He, Lei Xie

Forward-Backward Decoding for Regularizing End-to-End TTS

Yibin Zheng, Xi Wang, Lei He, Shifeng Pan, Frank K. Soong

Improving Keyword Spotting and Language Identification via Neural Architecture Search at Scale

Hanna Mazzawi, Xavi Gonzalvo, Aleks Kracun, Prashant Sridhar, Niranjan Subrahmanya

Target Speaker Extraction for Multi-Talker Speaker Verification

Wei Rao, Chenglin Xu, Eng Siong Chng, Haizhou Li