Interspeech 2019

965 papers

RawNet: Advanced End-to-End Deep Neural Network Using Raw Waveforms for Text-Independent Speaker Verification

Jee-weon Jung, Hee-soo Heo, Ju-ho Kim, Hye-jin Shim, Ha-Jin Yu

Attention Based Hybrid i-Vector BLSTM Model for Language Recognition

Bharat Padi, Anand Mohan, Sriram Ganapathy

Survey Talk: End-to-End Deep Neural Network Based Speaker and Language Recognition

Ming Li, Weicheng Cai, Danwei Cai

Acoustic Model Ensembling Using Effective Data Augmentation for CHiME-5 Challenge

Feng Ma, Li Chai, Jun Du, Diyuan Liu, Zhongfu Ye

Unsupervised Training of Neural Mask-Based Beamforming

Lukas Drude, Jahn Heymann, Reinhold Haeb-Umbach

Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR

Naoyuki Kanda, Christoph Boeddeker, Jens Heitkaemper, Yusuke Fujita, Shota Horiguchi

R-Vectors: New Technique for Adaptation to Room Acoustics

Yuri Khokhlov, Alexander Zatvornitskiy, Ivan Medennikov, Ivan Sorokin, Tatiana Prisyach

Multi-Task Multi-Network Joint-Learning of Deep Residual Networks and Cycle-Consistency Generative Adversarial Networks for Robust Speech Recognition

Shengkui Zhao, Chongjia Ni, Rong Tong, Bin Ma

Multi-Microphone Adaptive Noise Cancellation for Robust Hotword Detection

Yiteng Huang, Turaj Z. Shabestary, Alexander Gruenstein, Li Wan

Speech Quality Evaluation of Synthesized Japanese Speech Using EEG

Ivan Halim Parmonangan, Hiroki Tanaka, Sakriani Sakti, Shinnosuke Takamichi, Satoshi Nakamura

The Neural Correlates Underlying Lexically-Guided Perceptual Learning

Odette Scharenborg, Jiska Koemans, Cybelle Smith, Mark A. Hasegawa-Johnson, Kara D. Federmeier

The Processing of Prosodic Cues to Rhetorical Question Interpretation: Psycholinguistic and Neurolinguistics Evidence

Mariya Kharaman, Manluolan Xu, Carsten Eulitz, Bettina Braun

Phase Synchronization Between EEG Signals as a Function of Differences Between Stimuli Characteristics

L. ten Bosch, K. Mulder, L. Boves

ERP Signal Analysis with Temporal Resolution Using a Time Window Bank

Annika Nijveld, L. ten Bosch, Mirjam Ernestus

Spatial and Spectral Fingerprint in the Brain: Speaker Identification from Single Trial MEG Signals

Debadatta Dash, Paul Ferrari, Jun Wang

Curriculum-Based Transfer Learning for an Effective End-to-End Spoken Language Understanding and Domain Portability

Antoine Caubrière, Natalia Tomashenko, Antoine Laurent, Emmanuel Morin, Nathalie Camelin

Recognition of Intentions of Users’ Short Responses for Conversational News Delivery System

Hiroaki Takatsu, Katsuya Yokoyama, Yoichi Matsuyama, Hiroshi Honda, Shinya Fujie

End-to-End Spoken Language Understanding: Bootstrapping in Low Resource Scenarios

Swapnil Bhosale, Imran Sheikh, Sri Harsha Dumpala, Sunil Kumar Kopparapu

Iterative Delexicalization for Improved Spoken Language Understanding

Avik Ray, Yilin Shen, Hongxia Jin

Mining Polysemous Triplets with Recurrent Neural Networks for Spoken Language Understanding

Vedran Vukotić, Christian Raymond

Neural Transition Systems for Modeling Hierarchical Semantic Representations

Riyaz Bhat, John Chen, Rashmi Prasad, Srinivas Bangalore

Deep Neural Network Embeddings with Gating Mechanisms for Text-Independent Speaker Verification

Lanhua You, Wu Guo, Li-Rong Dai, Jun Du

Data Augmentation Using Variational Autoencoder for Embedding Based Speaker Verification

Zhanghao Wu, Shuai Wang, Yanmin Qian, Kai Yu

Multi-Task Learning with High-Order Statistics for x-Vector Based Text-Independent Speaker Verification

Lanhua You, Wu Guo, Li-Rong Dai, Jun Du

Learning Speaker Representations with Mutual Information

Mirco Ravanelli, Yoshua Bengio

On the Usage of Phonetic Information for Text-Independent Speaker Embedding Extraction

Shuai Wang, Johan Rohdin, Lukas Burget, Oldřich Plchot, Yanmin Qian

Deep Speaker Recognition: Modular or Monolithic?

Gautam Bhattacharya, Jahangir Alam, Patrick Kenny

Unsupervised Phonetic and Word Level Discovery for Speech to Speech Translation for Unwritten Languages

Steven Hillis, Anushree Prasanna Kumar, Alan W. Black

Adapting Transformer to End-to-End Spoken Language Translation

Mattia A. Di Gangi, Matteo Negri, Marco Turchi

End-to-End Speech Translation with Knowledge Distillation

Yuchen Liu, Hao Xiong, Jiajun Zhang, Zhongjun He, Hua Wu

Direct Speech-to-Speech Translation with a Sequence-to-Sequence Model

Ye Jia, Ron J. Weiss, Fadi Biadsy, Wolfgang Macherey, Melvin Johnson

Survey Talk: A Survey on Speech Translation

Jan Niehues

VQVAE Unsupervised Unit Discovery and Multi-Scale Code2Spec Inverter for Zerospeech Challenge 2019

Andros Tjandra, Berrak Sisman, Mingyang Zhang, Sakriani Sakti, Haizhou Li

Zero Resource Speech Synthesis Using Transcripts Derived from Perceptual Acoustic Units

Karthik Pandia D. S., Hema A. Murthy

Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice Conversion

Andy T. Liu, Po-Chun Hsu, Hung-yi Lee

Unsupervised Acoustic Unit Discovery for Speech Synthesis Using Discrete Latent-Variable Neural Networks

Ryan Eloff, André Nortje, Benjamin Van Niekerk, Avashna Govender, Leanne Nortje

Temporally-Aware Acoustic Unit Discovery for Zerospeech 2019 Challenge

Bolaji Yusuf, Alican Gök, Batuhan Gundogdu, Oyku Deniz Kose, Murat Saraclar

Combining Adversarial Training and Disentangled Speech Representation for Robust Zero-Resource Subword Modeling

Siyuan Feng, Tan Lee, Zhiyuan Peng

The Zero Resource Speech Challenge 2019: TTS Without T

Ewan Dunbar, Robin Algayres, Julien Karadayi, Mathieu Bernard, Juan Benjumea

Replay Attack Detection with Complementary High-Resolution Information Using End-to-End DNN for the ASVspoof 2019 Challenge

Jee-weon Jung, Hye-jin Shim, Hee-soo Heo, Ha-Jin Yu

Deep Residual Neural Networks for Audio Spoofing Detection

Moustafa Alzantot, Ziqi Wang, Mani B. Srivastava

Detecting Spoofing Attacks Using VGG and SincNet: BUT-Omilia Submission to ASVspoof 2019 Challenge

Hossein Zeinali, Themos Stafylakis, Georgia Athanasopoulou, Johan Rohdin, Ioannis Gkinis

A Light Convolutional GRU-RNN Deep Feature Extractor for ASV Spoofing Detection

Alejandro Gomez-Alanis, Antonio M. Peinado, Jose A. Gonzalez, Angel M. Gomez

Transfer-Representation Learning for Detecting Spoofing Attacks with Converted and Synthesized Speech in Automatic Speaker Verification System

Su-Yu Chang, Kai-Cheng Wu, Chia-Ping Chen

Long Range Acoustic Features for Spoofed Speech Detection

Rohan Kumar Das, Jichen Yang, Haizhou Li

Speech Replay Detection with x-Vector Attack Embeddings and Spectral Features

Jennifer Williams, Joanna Rownicka

Anti-Spoofing Speaker Verification System with Multi-Feature Integration and Multi-Task Learning

Rongjin Li, Miao Zhao, Zheng Li, Lin Li, Qingyang Hong

IIIT-H Spoofing Countermeasures for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2019

K.N.R.K. Raju Alluri, Anil Kumar Vuppala

The SJTU Robust Anti-Spoofing System for the ASVspoof 2019 Challenge

Yexin Yang, Hongji Wang, Heinrich Dinkel, Zhengyang Chen, Shuai Wang

STC Antispoofing Systems for the ASVspoof2019 Challenge

Galina Lavrentyeva, Sergey Novoselov, Andzhukaev Tseren, Marina Volkova, Artem Gorlanov

Robust Bayesian and Light Neural Networks for Voice Spoofing Detection

Radosław Białobrzeski, Michał Kośmider, Mateusz Matuszewski, Marcin Plata, Alexander Rakowski

The DKU Replay Detection System for the ASVspoof 2019 Challenge: On Data Augmentation, Feature Representation, Classification, and Fusion

Weicheng Cai, Haiwei Wu, Danwei Cai, Ming Li

Ensemble Models for Spoofing Detection in Automatic Speaker Verification

Bhusan Chettri, Daniel Stoller, Veronica Morfi, Marco A. Martínez Ramírez, Emmanouil Benetos

ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual Networks

Cheng-I Lai, Nanxin Chen, Jesus Villalba, Najim Dehak

ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection

Massimiliano Todisco, Xin Wang, Ville Vestman, Md. Sahidullah, Héctor Delgado

Speaker Diarization with Deep Speaker Embeddings for DIHARD Challenge II

Sergey Novoselov, Aleksei Gusev, Artem Ivanov, Timur Pekhovsky, Andrey Shulipa

The Second DIHARD Challenge: System Description for USC-SAIL Team

Tae Jin Park, Manoj Kumar, Nikolaos Flemotomos, Monisankha Pal, Raghuveer Peri

UWB-NTIS Speaker Diarization System for the DIHARD II 2019 Challenge

Zbyněk Zajíc, Marie Kunešová, Marek Hrúz, Jan Vaněk

ViVoLAB Speaker Diarization System for the DIHARD 2019 Challenge

Ignacio Viñals, Pablo Gimeno, Alfonso Ortega, Antonio Miguel, Eduardo Lleida

LEAP Diarization System for the Second DIHARD Challenge

Prachi Singh, Harsha Vardhan M.A., Sriram Ganapathy, A. Kanagasundaram

The Second DIHARD Diarization Challenge: Dataset, Task, and Baselines

Neville Ryant, Kenneth Church, Christopher Cieri, Alejandrina Cristia, Jun Du

Biosignal Processing for Human-Machine Interaction

Tanja Schultz

Speech-Based Web Navigation for Limited Mobility Users

Vasiliy Radostev, Serge Berger, Justin Tabrizi, Pasha Kamyshev, Hisami Suzuki

Using Ultrasound Imaging to Create Augmented Visual Biofeedback for Articulatory Practice

Colin T. Annand, Maurice Lamb, Sarah Dugan, Sarah R. Li, Hannah M. Woeste

Splash: Speech and Language Assessment in Schools and Homes

A. Miwardelli, I. Gallagher, J. Gibson, N. Katsos, Kate M. Knill

Using Real-Time Visual Biofeedback for Second Language Instruction

Shawn Nissen, Rebecca Nissen

SPIRE-fluent: A Self-Learning App for Tutoring Oral Fluency to Second Language English Learners

Chiranjeevi Yarra, Aparna Srinivasan, Sravani Gottimukkala, Prasanta Kumar Ghosh

Depression State Assessment: Application for Detection of Depression by Speech

Gábor Kiss, Dávid Sztahó, Klára Vicsi

Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson’s Disease

J.C. Vasquez-Correa, T. Arias-Vergara, Philipp Klumpp, M. Strauss, A. Küderle

Low Resource Automatic Intonation Classification Using Gated Recurrent Unit (GRU) Networks Pre-Trained with Synthesized Pitch Patterns

Atreyee Saha, Chiranjeevi Yarra, Prasanta Kumar Ghosh

An Improved Goodness of Pronunciation (GoP) Measure for Pronunciation Evaluation with DNN-HMM System Considering HMM Transition Probabilities

Sweekar Sudhakara, Manoj Kumar Ramanathi, Chiranjeevi Yarra, Prasanta Kumar Ghosh

Autonomous Emotion Learning in Speech: A View of Zero-Shot Speech Emotion Recognition

Xinzhou Xu, Jun Deng, Nicholas Cummins, Zixing Zhang, Li Zhao

On the Suitability of the Riesz Spectro-Temporal Envelope for WaveNet Based Speech Synthesis

Jitendra Kumar Dhiman, Nagaraj Adiga, Chandra Sekhar Seelamantula

Unsupervised Low-Rank Representations for Speech Emotion Recognition

Georgios Paraskevopoulos, Efthymios Tzinis, Nikolaos Ellinas, Theodoros Giannakopoulos, Alexandros Potamianos

Predictive Auxiliary Variational Autoencoder for Representation Learning of Global Speech Characteristics

Sebastian Springenberg, Egor Lakomkin, Cornelius Weber, Stefan Wermter

Acoustic and Articulatory Feature Based Speech Rate Estimation Using a Convolutional Dense Neural Network

Renuka Mannem, Jhansi Mallela, Aravind Illa, Prasanta Kumar Ghosh

ASR Inspired Syllable Stress Detection for Pronunciation Evaluation Without Using a Supervised Classifier and Syllable Level Features

Manoj Kumar Ramanathi, Chiranjeevi Yarra, Prasanta Kumar Ghosh

Salient Speech Representations Based on Cloned Networks

W. Bastiaan Kleijn, Felicia S.C. Lim, Michael Chinen, Jan Skoglund

Strength and Structure: Coupling Tones with Oral Constriction Gestures

Doris Mücke, Anne Hermes, Sam Tilsen

CNN-Based Phoneme Classifier from Vocal Tract MRI Learns Embedding Consistent with Articulatory Topology

K.G. van Leeuwen, P. Bos, S. Trebeschi, M.J.A. van Alphen, L. Voskuilen

Speech Organ Contour Extraction Using Real-Time MRI and Machine Learning Method

Hironori Takemoto, Tsubasa Goto, Yuya Hagihara, Sayaka Hamanaka, Tatsuya Kitamura

Assessing Acoustic and Articulatory Dimensions of Speech Motor Adaptation with Random Forests

Eugen Klein, Jana Brunner, Phil Hoole

Ultrasound-Based Silent Speech Interface Built on a Continuous Vocoder

Tamás Gábor Csapó, Mohammed Salah Al-Radhi, Géza Németh, Gábor Gosztolya, Tamás Grósz

Zooming in on Spatiotemporal V-to-C Coarticulation with Functional PCA

Michele Gubian, Manfred Pastätter, Marianne Pouplier

Temporal Coordination of Articulatory and Respiratory Events Prior to Speech Initiation

Oksana Rasskazova, Christine Mooshammer, Susanne Fuchs

Towards a Method of Dynamic Vocal Tract Shapes Generation by Combining Static 3D and Dynamic 2D MRI Speech Data

Ioannis K. Douros, Anastasiia Tsukanova, Karyna Isaieva, Pierre-André Vuissoz, Yves Laprie

Exploring Critical Articulator Identification from 50Hz RT-MRI Data of the Vocal Tract

Samuel Silva, António Teixeira, Conceição Cunha, Nuno Almeida, Arun A. Joseph

Identifying Input Features for Development of Real-Time Translation of Neural Signals to Text

Janaki Sheth, Ariel Tankus, Michelle Tran, Lindy Comstock, Itzhak Fried

Towards a Speaker Independent Speech-BCI Using Speaker Adaptation

Debadatta Dash, Alan Wisler, Paul Ferrari, Jun Wang

Multi-Corpus Acoustic-to-Articulatory Speech Inversion

Nadee Seneviratne, Ganesh Sivaraman, Carol Espy-Wilson

Slot Filling with Weighted Multi-Encoders for Out-of-Domain Values

Yuka Kobayashi, Takami Yoshida, Kenji Iwata, Hiroshi Fujimura

A Comparison of Deep Learning Methods for Language Understanding

Mandy Korpusik, Zoe Liu, James Glass

Zero Shot Intent Classification Using Long-Short Term Memory Networks

Kyle Williams

Meta Learning for Hyperparameter Optimization in Dialogue System

Jen-Tzung Chien, Wei Xiang Lieow

Improving Conversation-Context Language Models with Multiple Spoken Language Understanding Models

Ryo Masumura, Tomohiro Tanaka, Atsushi Ando, Hosana Kamiyama, Takanobu Oba

Topic-Aware Dialogue Speech Recognition with Transfer Learning

Yuanfeng Song, Di Jiang, Xueyang Wu, Qian Xu, Raymond Chi-Wing Wong

Investigating Adaptation and Transfer Learning for End-to-End Spoken Language Understanding from Speech

Natalia Tomashenko, Antoine Caubrière, Yannick Estève

Spoken Language Intent Detection Using Confusion2Vec

Prashanth Gurunath Shivakumar, Mu Yang, Panayiotis Georgiou

Speech Model Pre-Training for End-to-End Spoken Language Understanding

Loren Lugosch, Mirco Ravanelli, Patrick Ignoto, Vikrant Singh Tomar, Yoshua Bengio

Ultra-Compact NLU: Neuronal Network Binarization as Regularization

Munir Georges, Krzysztof Czarnowski, Tobias Bocklet