Interspeech 2020

1,035 papers

Speaker Diarization System Based on DPCA Algorithm for Fearless Steps Challenge Phase-2

Xueshuai Zhang, Wenchao Wang, Pengyuan Zhang

Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments

Jens Heitkaemper, Joerg Schmalenstroeer, Reinhold Haeb-Umbach

Stacked 1D Convolutional Networks for End-to-End Small Footprint Voice Trigger Detection

Takuya Higuchi, Mohammad Ghasemzadeh, Kisun You, Chandra Dhir

End-to-End Keyword Search Based on Attention and Energy Scorer for Low Resource Languages

Zeyu Zhao, Wei-Qiang Zhang

An Investigation of Few-Shot Learning in Spoken Term Classification

Yangbin Chen, Tom Ko, Lifeng Shang, Xiao Chen, Xin Jiang

Multi-Scale Convolution for Robust Keyword Spotting

chen yang, Xue Wen, Liming Song

Deep Template Matching for Small-Footprint and Configurable Keyword Spotting

Peng Zhang, Xueliang Zhang

Re-Weighted Interval Loss for Handling Data Imbalance Problem of End-to-End Keyword Spotting

Kun Zhang, Zhiyong Wu, Daode Yuan, Jian Luan, Jia Jia

Domain Aware Training for Far-Field Small-Footprint Keyword Spotting

Haiwei Wu, Yan Jia, Yuanfei Nie, Ming Li

Deep Convolutional Spiking Neural Networks for Keyword Spotting

Emre Yılmaz, Özgür Bora Gevrek, Jibin Wu, Yuxiang Chen, Xuanbo Meng

Predicting Detection Filters for Small Footprint Open-Vocabulary Keyword Spotting

Theodore Bluche, Thibault Gisselbrecht

Depthwise Separable Convolutional ResNet with Squeeze-and-Excitation Blocks for Small-Footprint Keyword Spotting

Menglong Xu, Xiao-Lei Zhang

BlaBla: Linguistic Feature Extraction for Clinical Analysis in Multiple Languages

Abhishek Shivkumar, Jack Weston, Raphael Lenain, Emil Fristed

Towards Automatic Assessment of Voice Disorders: A Clinical Approach

Purva Barche, Krishna Gurugubelli, Anil Kumar Vuppala

UncommonVoice: A Crowdsourced Dataset of Dysphonic Speech

Meredith Moore, Piyush Papreja, Michael Saxon, Visar Berisha, Sethuraman Panchanathan

Improving Cognitive Impairment Classification by Generative Neural Network-Based Feature Augmentation

Bahman Mirheidari, Daniel Blackburn, Ronan O’Malley, Annalena Venneri, Traci Walker

Towards Interpreting Deep Learning Models to Understand Loss of Speech Intelligibility in Speech Disorders — Step 1: CNN Model-Based Phone Classification

Sondes Abderrazek, Corinne Fredouille, Alain Ghio, Muriel Lalain, Christine Meunier

EEG-Based Short-Time Auditory Attention Detection Using Multi-Task Deep Learning

Zhuo Zhang, Gaoyan Zhang, Jianwu Dang, Shuang Wu, Di Zhou

Investigation of Phase Distortion on Perceived Speech Quality for Hearing-Impaired Listeners

Zhuohuang Zhang, Donald S. Williamson, Yi Shen

Speech Clarity Improvement by Vocal Self-Training Using a Hearing Impairment Simulator and its Correlation with an Auditory Modulation Index

Toshio Irino, Soichi Higashiyama, Hanako Yoshigi

Enhancing the Interaural Time Difference of Bilateral Cochlear Implants with the Temporal Limits Encoder

Yangyang Wan, Huali Zhou, Qinglin Meng, Nengheng Zheng

The Implication of Sound Level on Spatial Selective Auditory Attention for Cochlear Implant Users: Behavioral and Electrophysiological Measurement

Sara Akbarzadeh, Sungmin Lee, Chin-Tuan Tan

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

Chandan K.A. Reddy, Vishak Gopal, Ross Cutler, Ebrahim Beyrami, Roger Cheng

PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss

Umut Isik, Ritwik Giri, Neerad Phansalkar, Jean-Marc Valin, Karim Helwani

A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech

Jean-Marc Valin, Umut Isik, Neerad Phansalkar, Ritwik Giri, Karim Helwani

Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression

Nils L. Westhausen, Bernd T. Meyer

DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement

Yanxin Hu, Yun Liu, Shubo Lv, Mengtao Xing, Shimin Zhang

INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising

Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry, Tim Fingscheidt

Online Monaural Speech Enhancement Using Delayed Subband LSTM

Xiaofei Li, Radu Horaud

NAAGN: Noise-Aware Attention-Gated Network for Speech Enhancement

Feng Deng, Tao Jiang, Xiao-Rui Wang, Chen Zhang, Yan Li

Noise Tokens: Learning Neural Noise Templates for Environment-Aware Speech Enhancement

Haoyu Li, Junichi Yamagishi

Single-Channel Speech Enhancement by Subspace Affinity Minimization

Dung N. Tran, Kazuhito Koishida

Low-Latency Single Channel Speech Dereverberation Using U-Net Convolutional Neural Networks

Ahmet E. Bulut, Kazuhito Koishida

Adaptive Neural Speech Enhancement with a Denoising Variational Autoencoder

Yoshiaki Bando, Kouhei Sekiguchi, Kazuyoshi Yoshii

SERIL: Noise Adaptive Speech Enhancement Using Regularization-Based Incremental Learning

Chi-Chang Lee, Yu-Chen Lin, Hsuan-tien Lin, Hsin-Min Wang, Yu Tsao

Constrained Ratio Mask for Speech Enhancement Using DNN

Hongjiang Yu, Wei-Ping Zhu, Yuhong Yang

A Recursive Network with Dynamic Attention for Monaural Speech Enhancement

Andong Li, Chengshi Zheng, Cunhang Fan, Renhua Peng, Xiaodong Li

Incorporating Broad Phonetic Information for Speech Enhancement

Yen-Ju Lu, Chien-Feng Liao, Xugang Lu, Jeih-Weih Hung, Yu Tsao

Singing Voice Extraction with Attention-Based Spectrograms Fusion

Hao Shi, Longbiao Wang, Sheng Li, Chenchen Ding, Meng Ge

The Different Enhancement Roles of Covarying Cues in Thai and Mandarin Tones

Nari Rhee, Jianjing Kuang

Now You’re Speaking My Language: Visual Language Identification

Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman

Perception and Production of Mandarin Initial Stops by Native Urdu Speakers

Dan Du, Xianjin Zhu, Zhu Li, Jinsong Zhang

Monolingual Data Selection Analysis for English-Mandarin Hybrid Code-Switching Speech Recognition

Haobo Zhang, Haihua Xu, Van Tung Pham, Hao Huang, Eng Siong Chng

Bilingual Acoustic Voice Variation is Similarly Structured Across Languages

Khia A. Johnson, Molly Babel, Robert A. Fuhrman

Effects of Dialectal Code-Switching on Speech Modules: A Study Using Egyptian Arabic Broadcast Speech

Shammur A. Chowdhury, Younes Samih, Mohamed Eldesouki, Ahmed Ali

Exploring the Use of an Artificial Accent of English to Assess Phonetic Learning in Monolingual and Bilingual Speakers

Laura Spinu, Jiwon Hwang, Nadya Pincus, Mariana Vasilita

The Effect of Input on the Production of English Tense and Lax Vowels by Chinese Learners: Evidence from an Elementary School in China

Mengrou Li, Ying Chen, Jie Cui

The Effect of Language Dominance on the Selective Attention of Segments and Tones in Urdu-Cantonese Speakers

Yi Liu, Jinghong Ning

The Effect of Language Proficiency on the Perception of Segmental Foreign Accent

Rubén Pérez-Ramón, Maria Luisa Garcia Lecumberri, Martin Cooke

Advancing Multiple Instance Learning with Attention Modeling for Categorical Speech Emotion Recognition

Shuiyang Mao, P.C. Ching, C.-C. Jay Kuo, Tan Lee

EigenEmo: Spectral Utterance Representation Using Dynamic Mode Decomposition for Speech Emotion Classification

Shuiyang Mao, P.C. Ching, Tan Lee

Conversational Emotion Recognition Using Self-Attention Mechanisms and Graph Neural Networks

Zheng Lian, Jianhua Tao, Bin Liu, Jian Huang, Zhanlei Yang

Reconciliation of Multiple Corpora for Speech Emotion Recognition by Multiple Classifiers with an Adversarial Corpus Discriminator

Zhi Zhu, Yoshinao Sato

Temporal Attention Convolutional Network for Speech Emotion Recognition with Latent Representation

Jiaxing Liu, Zhilei Liu, Longbiao Wang, Yuan Gao, Lili Guo

Meta-Learning for Speech Emotion Recognition Considering Ambiguity of Emotion Labels

Takuya Fujioka, Takeshi Homma, Kenji Nagamatsu

Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-Corpus Setting for Speech Emotion Recognition

Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Bjorn W. Schuller

An Efficient Temporal Modeling Approach for Speech Emotion Recognition by Mapping Varied Duration Sentences into Fixed Number of Chunks

Wei-Cheng Lin, Carlos Busso

Evaluating Automatically Generated Phoneme Captions for Images

Justin van der Hout, Zoltán D’Haese, Mark Hasegawa-Johnson, Odette Scharenborg

SpecMark: A Spectral Watermarking Framework for IP Protection of Speech Recognition Systems

Huili Chen, Bita Darvish, Farinaz Koushanfar

Risk Forecasting from Earnings Calls Acoustics and Network Correlations

Ramit Sawhney, Arshiya Aggarwal, Piyush Khanna, Puneet Mathur, Taru Jain

Whisper Augmented End-to-End/Hybrid Speech Recognition System — CycleGAN Approach

Prithvi R.R. Gudepu, Gowtham P. Vadisetti, Abhishek Niranjan, Kinnera Saranu, Raghava Sarma

Automatic Speech Recognition Benchmark for Air-Traffic Communications

Juan Zuluaga-Gomez, Petr Motlicek, Qingran Zhan, Karel Veselý, Rudolf Braun

S2IGAN: Speech-to-Image Generation via Adversarial Learning

Xinsheng Wang, Tingting Qiao, Jihua Zhu, Alan Hanjalic, Odette Scharenborg

Adversarial Audio: A New Information Hiding Method

Yehao Kong, Jiliang Zhang

Metadata-Aware End-to-End Keyword Spotting

Hongyi Liu, Apurva Abhyankar, Yuriy Mishchenko, Thibaud Sénéchal, Gengshen Fu

Streaming Keyword Spotting on Mobile Devices

Oleg Rybakov, Natasha Kononenko, Niranjan Subrahmanya, Mirkó Visontai, Stella Laurenzo

Speaker Identification for Household Scenarios with Self-Attention and Adversarial Training

Ruirui Li, Jyun-Yu Jiang, Xian Wu, Chu-Cheng Hsieh, Andreas Stolcke

JukeBox: A Multilingual Singer Recognition Dataset

Anurag Chowdhury, Austin Cozzo, Arun Ross

Open-Set Short Utterance Forensic Speaker Verification Using Teacher-Student Network with Explicit Inductive Bias

Mufan Sang, Wei Xia, John H.L. Hansen

Cross-Domain Adaptation with Discrepancy Minimization for Text-Independent Forensic Speaker Verification

Zhenyu Wang, Wei Xia, John H.L. Hansen

Multi-Modality Matters: A Performance Leap on VoxCeleb

Zhengyang Chen, Shuai Wang, Yanmin Qian

Multimodal Association for Speaker Verification

Suwon Shon, James Glass

Audio-Visual Speaker Recognition with a Cross-Modal Discriminative Network

Ruijie Tao, Rohan Kumar Das, Haizhou Li

Automatic Quality Assessment for Audio-Visual Verification Systems. The LOVe Submission to NIST SRE Challenge 2019

Grigory Antipov, Nicolas Gengembre, Olivier Le Blouch, Gael Le Lan

THUEE System for NIST SRE19 CTS Challenge

Ruyun Li, Tianyu Liang, Dandan Song, Yi Liu, Yangcheng Wu

NEC-TT Speaker Verification System for SRE’19 CTS Challenge

Kong Aik Lee, Koji Okabe, Hitoshi Yamamoto, Qiongqiong Wang, Ling Guo

Automated Screening for Alzheimer’s Dementia Through Spontaneous Speech

Muhammad Shehram Shah Syed, Zafi Sherhan Syed, Margaret Lech, Elena Pirogova

Exploiting Multi-Modal Features from Pre-Trained Networks for Alzheimer’s Dementia Recognition

Junghyun Koo, Jie Hwan Lee, Jaewoo Pyo, Yujin Jo, Kyogu Lee

Multimodal Inductive Transfer Learning for Detection of Alzheimer’s Dementia and its Severity

Utkarsh Sarawgi, Wazeer Zulfikar, Nouran Soliman, Pattie Maes

Exploring MMSE Score Prediction Using Verbal and Non-Verbal Cues

Shahla Farzana, Natalie Parde

The INESC-ID Multi-Modal System for the ADReSS 2020 Challenge

Anna Pompili, Thomas Rolland, Alberto Abad

Multiscale System for Alzheimer’s Dementia Recognition Through Spontaneous Speech

Erik Edwards, Charles Dognin, Bajibabu Bollepalli, Maneesh Singh

Comparing Natural Language Processing Techniques for Alzheimer’s Dementia Prediction in Spontaneous Speech

Thomas Searle, Zina Ibrahim, Richard Dobson

Multi-Modal Fusion with Gating Using Audio, Lexical and Disfluency Features for Alzheimer’s Dementia Recognition from Spontaneous Speech

Morteza Rohanian, Julian Hough, Matthew Purver

A Comparison of Acoustic and Linguistics Methodologies for Alzheimer’s Dementia Recognition

Nicholas Cummins, Yilin Pan, Zhao Ren, Julian Fritsch, Venkata Srikanth Nallanthighal

Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer’s Disease and Assess its Severity

Raghavendra Pappagari, Jaejin Cho, Laureano Moro-Velazquez, Najim Dehak

Alzheimer’s Dementia Recognition Through Spontaneous Speech: The ADReSS Challenge

Saturnino Luz, Fasih Haider, Sofia de la Fuente, Davida Fromm, Brian MacWhinney

To BERT or not to BERT: Comparing Speech and Language-Based Approaches for Alzheimer’s Disease Detection

Aparna Balagopalan, Benjamin Eyre, Frank Rudzicz, Jekaterina Novikova

Disfluencies and Fine-Tuning Pre-Trained Language Models for Detection of Alzheimer’s Disease

Jiahong Yuan, Yuchen Bian, Xingyu Cai, Jiaji Huang, Zheng Ye

Tackling the ADReSS Challenge: A Multimodal Approach to the Automated Recognition of Alzheimer’s Dementia

Matej Martinc, Senja Pollak

Transfer Learning Approaches for Streaming End-to-End Speech Recognition System

Vikas Joshi, Rui Zhao, Rupesh R. Mehta, Kshitiz Kumar, Jinyu Li

High Performance Sequence-to-Sequence Model for Streaming Speech Recognition

Thai-Son Nguyen, Ngoc-Quan Pham, Sebastian Stüker, Alex Waibel

Streaming Chunk-Aware Multihead Attention for Online End-to-End Speech Recognition

Shiliang Zhang, Zhifu Gao, Haoneng Luo, Ming Lei, Jie Gao

Enhancing Monotonic Multihead Attention for Streaming ASR

Hirofumi Inaguma, Masato Mimura, Tatsuya Kawahara

Streaming Transformer-Based Acoustic Models Using Self-Attention with Augmented Memory

Chunyang Wu, Yongqiang Wang, Yangyang Shi, Ching-Feng Yeh, Frank Zhang

Improved Hybrid Streaming ASR with Transformer Language Models

Pau Baquero-Arnal, Javier Jorge, Adrià Giménez, Joan Albert Silvestre-Cerdà, Javier Iranzo-Sánchez

Parallel Rescoring with Transformer for Streaming On-Device Speech Recognition

Wei Li, James Qin, Chung-Cheng Chiu, Ruoming Pang, Yanzhang He

Knowledge Distillation from Offline to Streaming RNN Transducer for End-to-End Speech Recognition

Gakuto Kurata, George Saon

Low Latency End-to-End Streaming Speech Recognition with a Scout Network

Chengyi Wang, Yu Wu, Liang Lu, Shujie LIU, Jinyu Li

1-D Row-Convolution LSTM: Fast Streaming ASR at Accuracy Parity with LC-BLSTM

Kshitiz Kumar, Chaojun Liu, Yifan Gong, Jian Wu