Interspeech 2020

1,035 papers

Processes and Consequences of Co-Articulation in Mandarin V1N.(C2)V2Context: Phonology and Phonetics

Mingqiong Luo

Acoustic Properties of Strident Fricatives at the Edges: Implications for Consonant Discrimination

Louis-Marie Lorin, Lorenzo Maselli, Léo Varnet, Maria Giavazzi

Secondary Phonetic Cues in the Production of the Nasal Short-a System in California English

Georgia Zellou, Rebecca Scarborough, Renee Kemp

Understanding Racial Disparities in Automatic Speech Recognition: The Case of Habitual “be”

Joshua L. Martin, Kevin Tang

An Evaluation of Manual and Semi-Automatic Laughter Annotation

Bogdan Ludusan, Petra Wagner

Word Error Rate Estimation Without ASR Output: e-WER2

Ahmed Ali, Steve Renals

Confidence Measures in Encoder-Decoder Models for Speech Recognition

Alejandro Woodward, Clara Bonnín, Issey Masuda, David Varas, Elisenda Bou-Balust

Neural Zero-Inflated Quality Estimation Model for Automatic Speech Recognition System

Kai Fan, Bo Li, Jiayi Wang, Shiliang Zhang, Boxing Chen

Sentence Level Estimation of Psycholinguistic Norms Using Joint Multidimensional Annotations

Anil Ramakrishna, Shrikanth Narayanan

Statistical Testing on ASR Performance via Blockwise Bootstrap

Zhe Liu, Fuchun Peng

Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer

Yuan Shangguan, Kate Knister, Yanzhang He, Ian McGraw, Françoise Beaufays

RECOApy: Data Recording, Pre-Processing and Phonetic Transcription for End-to-End Speech-Based Applications

Adriana Stan

SpecSwap: A Simple Data Augmentation Method for End-to-End Speech Recognition

Xingchen Song, Zhiyong Wu, Yiheng Huang, Dan Su, Helen Meng

Continual Learning for Multi-Dialect Acoustic Models

Brady Houston, Katrin Kirchhoff

CTC-Synchronous Training for Monotonic Attention Model

Hirofumi Inaguma, Masato Mimura, Tatsuya Kawahara

CAT: A CTC-CRF Based ASR Toolkit Bridging the Hybrid and the End-to-End Approaches Towards Data Efficiency and Low Latency

Keyu An, Hongyu Xiang, Zhijian Ou

PyChain: A Fully Parallelized PyTorch Implementation of LF-MMI for End-to-End ASR

Yiwen Shao, Yiming Wang, Daniel Povey, Sanjeev Khudanpur

Improving Speech Recognition Using GAN-Based Speech Synthesis and Contrastive Unspoken Text Selection

Zhehuai Chen, Andrew Rosenberg, Yu Zhang, Gary Wang, Bhuvana Ramabhadran

Single Headed Attention Based Sequence-to-Sequence Model for State-of-the-Art Results on Switchboard

Zoltán Tüske, George Saon, Kartik Audhkhasi, Brian Kingsbury

Self-Distillation for Improving CTC-Transformer-Based ASR Systems

Takafumi Moriya, Tsubasa Ochiai, Shigeki Karita, Hiroshi Sato, Tomohiro Tanaka

Fast and Slow Acoustic Model

Kshitiz Kumar, Emilian Stoimenov, Hosam Khalil, Jian Wu

Speech Representation Learning for Emotion Recognition Using End-to-End ASR with Factorized Adaptation

Sung-Lin Yeh, Yun-Shao Lin, Chi-Chun Lee

Emotion Profile Refinery for Speech Emotion Classification

Shuiyang Mao, P.C. Ching, Tan Lee

Speech Emotion Recognition ‘in the Wild’ Using an Autoencoder

Vipula Dissanayake, Haimo Zhang, Mark Billinghurst, Suranga Nanayakkara

Augmenting Generative Adversarial Networks for Speech Emotion Recognition

Siddique Latif, Muhammad Asim, Rajib Rana, Sara Khalifa, Raja Jurdak

Ensemble of Students Taught by Probabilistic Teachers to Improve Speech Emotion Recognition

Kusha Sridhar, Carlos Busso

An Investigation of Cross-Cultural Semi-Supervised Learning for Continuous Affect Recognition

Adria Mallol-Ragolta, Nicholas Cummins, Bjorn W. Schuller

Improving Speech Emotion Recognition Using Graph Attentive Bi-Directional Gated Recurrent Unit Network

Bo-Hao Su, Chun-Min Chang, Yun-Shao Lin, Chi-Chun Lee

End-to-End Speech Emotion Recognition Combined with Acoustic-to-Word ASR Model

Han Feng, Sei Ueno, Tatsuya Kawahara

Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models

Zhao Ren, Jing Han, Nicholas Cummins, Bjorn W. Schuller

VoiceID on the Fly: A Speaker Recognition System that Learns from Scratch

Baihan Lin, Xinxin Zhang

Toward Remote Patient Monitoring of Speech, Video, Cognitive and Respiratory Biomarkers Using Multimodal Dialog Technology

Vikram Ramanarayanan, Oliver Roesler, Michael Neumann, David Pautler, Doug Habberstad

CATOTRON — A Neural Text-to-Speech System in Catalan

Baybars Kulebi, Alp Öktem, Alex Peiró-Lilja, Santiago Pascual, Mireia Farrús

SoapBox Labs Fluency Assessment Platform for Child Speech

Amelia C. Kelly, Eleni Karamichali, Armin Saeb, Karel Veselý, Nicholas Parslow

Soapbox Labs Verification Platform for Child Speech

Amelia C. Kelly, Eleni Karamichali, Armin Saeb, Karel Veselý, Nicholas Parslow

Kaldi-Web: An Installation-Free, On-Device Speech Recognition System

Mathieu Hu, Laurent Pierron, Emmanuel Vincent, Denis Jouvet

ICE-Talk: An Interface for a Controllable Expressive Talking Machine

Noé Tits, Kevin El Haddad, Thierry Dutoit

Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic Languages

Badr M. Abdullah, Tania Avgustinova, Bernd Möbius, Dietrich Klakow

Learning Intonation Pattern Embeddings for Arabic Dialect Identification

Aitor Arronte Alvarez, Elsayed Sabry Abdelaal Issa

Releasing a Toolkit and Comparing the Performance of Language Embeddings Across Various Spoken Language Identification Datasets

Matias Lindgren, Tommi Jauhiainen, Mikko Kurimo

What Does an End-to-End Dialect Identification Model Learn About Non-Dialectal Information?

Shammur A. Chowdhury, Ahmed Ali, Suwon Shon, James Glass

On the Usage of Multi-Feature Integration for Speaker Verification and Language Identification

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

The XMUSPEECH System for the AP19-OLR Challenge

Zheng Li, Miao Zhao, Jing Li, Yiming Zhi, Lin Li

Metric Learning Loss Functions to Reduce Domain Mismatch in the x-Vector Space for Language Recognition

Raphaël Duroselle, Denis Jouvet, Irina Illina

FT Speech: Danish Parliament Speech Corpus

Andreas Kirkedal, Marija Stepanović, Barbara Plank

Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews

Bo Wang, Yue Wu, Niall Taylor, Terry Lyons, Maria Liakata

DiPCo — Dinner Party Corpus

Maarten Van Segbroeck, Ahmed Zaid, Ksenia Kutsenko, Cirenia Huerta, Tinh Nguyen

FinChat: Corpus and Evaluation Setup for Finnish Chat Conversations on Everyday Topics

Katri Leino, Juho Leinonen, Mittul Singh, Sami Virpioja, Mikko Kurimo

CUCHILD: A Large-Scale Cantonese Corpus of Child Speech for Phonology and Articulation Assessment

Si-Ioi Ng, Cymie Wing-Yee Ng, Jiarui Wang, Tan Lee, Kathy Yuet-Sheung Lee

Design and Development of a Human-Machine Dialog Corpus for the Automated Assessment of Conversational English Proficiency

Vikram Ramanarayanan

LAIX Corpus of Chinese Learner English: Towards a Benchmark for L2 English ASR

Yanhong Wang, Huan Luan, Jiahong Yuan, Bin Wang, Hui Lin

ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers

Jung-Woo Ha, Kihyun Nam, Jingu Kang, Sang-Woo Lee, Sohee Yang

Developing an Open-Source Corpus of Yoruba Speech

Alexander Gutkin, Işın Demirşahin, Oddur Kjartansson, Clara Rivera, Kọ́lá Túbọ̀sún

ATCSpeech: A Multilingual Pilot-Controller Speech Corpus from Real Air Traffic Control Environment

Bo Yang, Xianlong Tan, Zhengmao Chen, Bing Wang, Min Ruan

Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition

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

Using Speaker-Aligned Graph Memory Block in Multimodally Attentive Emotion Recognition Network

Jeng-Lin Li, Chi-Chun Lee

Multi-Modal Embeddings Using Multi-Task Learning for Emotion Recognition

Aparna Khare, Srinivas Parthasarathy, Shiva Sundaram

Group Gated Fusion on Attention-Based Bidirectional Alignment for Multimodal Emotion Recognition

Pengfei Liu, Kun Li, Helen Meng

A Multi-Scale Fusion Framework for Bimodal Speech Emotion Recognition

Ming Chen, Xudong Zhao

WISE: Word-Level Interaction-Based Multimodal Fusion for Speech Emotion Recognition

Guang Shen, Riwei Lai, Rui Chen, Yu Zhang, Kejia Zhang

Multi-Modal Attention for Speech Emotion Recognition

Zexu Pan, Zhaojie Luo, Jichen Yang, Haizhou Li

Multimodal Deception Detection Using Automatically Extracted Acoustic, Visual, and Lexical Features

Jiaxuan Zhang, Sarah Ita Levitan, Julia Hirschberg

Toward Silent Paralinguistics: Speech-to-EMG — Retrieving Articulatory Muscle Activity from Speech

Catarina Botelho, Lorenz Diener, Dennis Küster, Kevin Scheck, Shahin Amiriparian

Simulating Realistically-Spatialised Simultaneous Speech Using Video-Driven Speaker Detection and the CHiME-5 Dataset

Jack Deadman, Jon Barker

Utterance-Wise Meeting Transcription System Using Asynchronous Distributed Microphones

Shota Horiguchi, Yusuke Fujita, Kenji Nagamatsu

Neural Speech Separation Using Spatially Distributed Microphones

Dongmei Wang, Zhuo Chen, Takuya Yoshioka

Improved Guided Source Separation Integrated with a Strong Back-End for the CHiME-6 Dinner Party Scenario

Hangting Chen, Pengyuan Zhang, Qian Shi, Zuozhen Liu

Quaternion Neural Networks for Multi-Channel Distant Speech Recognition

Xinchi Qiu, Titouan Parcollet, Mirco Ravanelli, Nicholas D. Lane, Mohamed Morchid

End-to-End Far-Field Speech Recognition with Unified Dereverberation and Beamforming

Wangyou Zhang, Aswin Shanmugam Subramanian, Xuankai Chang, Shinji Watanabe, Yanmin Qian

Towards a Competitive End-to-End Speech Recognition for CHiME-6 Dinner Party Transcription

Andrei Andrusenko, Aleksandr Laptev, Ivan Medennikov

Anti-Aliasing Regularization in Stacking Layers

Antoine Bruguier, Ananya Misra, Arun Narayanan, Rohit Prabhavalkar

Double Adversarial Network Based Monaural Speech Enhancement for Robust Speech Recognition

Zhihao Du, Jiqing Han, Xueliang Zhang

Learning Contextual Language Embeddings for Monaural Multi-Talker Speech Recognition

Wangyou Zhang, Yanmin Qian

Spot the Conversation: Speaker Diarisation in the Wild

Joon Son Chung, Jaesung Huh, Arsha Nagrani, Triantafyllos Afouras, Andrew Zisserman

Deep Self-Supervised Hierarchical Clustering for Speaker Diarization

Prachi Singh, Sriram Ganapathy

Speaker Attribution with Voice Profiles by Graph-Based Semi-Supervised Learning

Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz

Self-Attentive Similarity Measurement Strategies in Speaker Diarization

Qingjian Lin, Yu Hou, Ming Li

New Advances in Speaker Diarization

Hagai Aronowitz, Weizhong Zhu, Masayuki Suzuki, Gakuto Kurata, Ron Hoory

Target-Speaker Voice Activity Detection: A Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario

Ivan Medennikov, Maxim Korenevsky, Tatiana Prisyach, Yuri Khokhlov, Mariya Korenevskaya

End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors

Shota Horiguchi, Yusuke Fujita, Shinji Watanabe, Yawen Xue, Kenji Nagamatsu

UNSW System Description for the Shared Task on Automatic Speech Recognition for Non-Native Children’s Speech

Mostafa Shahin, Renée Lu, Julien Epps, Beena Ahmed

Data Augmentation Using Prosody and False Starts to Recognize Non-Native Children’s Speech

Hemant Kathania, Mittul Singh, Tamás Grósz, Mikko Kurimo

Non-Native Children’s Automatic Speech Recognition: The INTERSPEECH 2020 Shared Task ALTA Systems

Kate M. Knill, Linlin Wang, Yu Wang, Xixin Wu, Mark J.F. Gales

The NTNU System at the Interspeech 2020 Non-Native Children’s Speech ASR Challenge

Tien-Hong Lo, Fu-An Chao, Shi-Yan Weng, Berlin Chen

Overview of the Interspeech TLT2020 Shared Task on ASR for Non-Native Children’s Speech

Roberto Gretter, Marco Matassoni, Daniele Falavigna, Keelan Evanini, Chee Wee Leong

Neural Homomorphic Vocoder

Zhijun Liu, Kuan Chen, Kai Yu

Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording Conditions

Dipjyoti Paul, Yannis Pantazis, Yannis Stylianou

Can Auditory Nerve Models Tell us What’s Different About WaveNet Vocoded Speech?

Sébastien Le Maguer, Naomi Harte

Efficient WaveGlow: An Improved WaveGlow Vocoder with Enhanced Speed

Wei Song, Guanghui Xu, Zhengchen Zhang, Chao Zhang, Xiaodong He

Fast and Lightweight On-Device TTS with Tacotron2 and LPCNet

Vadim Popov, Stanislav Kamenev, Mikhail Kudinov, Sergey Repyevsky, Tasnima Sadekova

What the Future Brings: Investigating the Impact of Lookahead for Incremental Neural TTS

Brooke Stephenson, Laurent Besacier, Laurent Girin, Thomas Hueber

WG-WaveNet: Real-Time High-Fidelity Speech Synthesis Without GPU

Po-Chun Hsu, Hung-yi Lee

Lightweight LPCNet-Based Neural Vocoder with Tensor Decomposition

Hiroki Kanagawa, Yusuke Ijima

VocGAN: A High-Fidelity Real-Time Vocoder with a Hierarchically-Nested Adversarial Network

Jinhyeok Yang, Junmo Lee, Youngik Kim, Hoon-Young Cho, Injung Kim

FeatherWave: An Efficient High-Fidelity Neural Vocoder with Multi-Band Linear Prediction

Qiao Tian, Zewang Zhang, Heng Lu, Ling-Hui Chen, Shan Liu

Knowledge-and-Data-Driven Amplitude Spectrum Prediction for Hierarchical Neural Vocoders

Yang Ai, Zhen-Hua Ling

Harmonic Lowering for Accelerating Harmonic Convolution for Audio Signals

Hirotoshi Takeuchi, Kunio Kashino, Yasunori Ohishi, Hiroshi Saruwatari

Nonlinear ISA with Auxiliary Variables for Learning Speech Representations

Amrith Setlur, Barnabás Póczos, Alan W. Black

Robust Pitch Regression with Voiced/Unvoiced Classification in Nonstationary Noise Environments

Dung N. Tran, Uros Batricevic, Kazuhito Koishida

Unsupervised Methods for Evaluating Speech Representations

Michael Gump, Wei-Ning Hsu, James Glass