Interspeech 2021

999 papers

Towards Automatic Speech Recognition for People with Atypical Speech

Heidi Christensen

Analysis by Synthesis: Using an Expressive TTS Model as Feature Extractor for Paralinguistic Speech Classification

Dominik Schiller, Silvan Mertes, Pol van Rijn, Elisabeth Andre

Ensemble-Within-Ensemble Classification for Escalation Prediction from Speech

Oxana Verkholyak, Denis Dresvyanskiy, Anastasia Dvoynikova, Denis Kotov, Elena Ryumina

Identifying Conflict Escalation and Primates by Using Ensemble X-Vectors and Fisher Vector Features

José Vicente Egas-López, Mercedes Vetráb, László Tóth, Gábor Gosztolya

Multi-Attentive Detection of the Spider Monkey Whinny in the (Actual) Wild

Georgios Rizos, Jenna Lawson, Zhuoda Han, Duncan Butler, James Rosindell

Introducing a Central African Primate Vocalisation Dataset for Automated Species Classification

Joeri A. Zwerts, Jelle Treep, Casper S. Kaandorp, Floor Meewis, Amparo C. Koot

A Deep and Recurrent Architecture for Primate Vocalization Classification

Robert Müller, Steffen Illium, Claudia Linnhoff-Popien

Deep-Learning-Based Central African Primate Species Classification with MixUp and SpecAugment

Thomas Pellegrini

Visual Transformers for Primates Classification and Covid Detection

Steffen Illium, Robert Müller, Andreas Sedlmeier, Claudia-Linnhoff Popien

Transfer Learning and Data Augmentation Techniques to the COVID-19 Identification Tasks in ComParE 2021

Edresson Casanova, Arnaldo Candido Jr., Ricardo Corso Fernandes Jr., Marcelo Finger, Lucas Rafael Stefanel Gris

The Phonetic Footprint of Covid-19?

P. Klumpp, T. Bocklet, T. Arias-Vergara, J.C. Vasquez-Correa, P.A. Perez-Toro

Transfer Learning-Based Cough Representations for Automatic Detection of COVID-19

Rubén Solera-Ureña, Catarina Botelho, Francisco Teixeira, Thomas Rolland, Alberto Abad

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

Bjorn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han

Characterizing Voiced and Voiceless Nasals in Mizo

Wendy Lalhminghlui, Priyankoo Sarmah

Sound Change in Spontaneous Bilingual Speech: A Corpus Study on the Cantonese n-l Merger in Cantonese-English Bilinguals

Rachel Soo, Khia A. Johnson, Molly Babel

Cross-Linguistic Speaker Individuality of Long-Term Formant Distributions: Phonetic and Forensic Perspectives

Justin J.H. Lo

MAP Adaptation Characteristics in Forensic Long-Term Formant Analysis

Michael Jessen

A Comparison of the Accuracy of Dissen and Keshet’s (2016) DeepFormants and Traditional LPC Methods for Semi-Automatic Speaker Recognition

Thomas Coy, Vincent Hughes, Philip Harrison, Amelia J. Gully

Voicing Contrasts in the Singleton Stops of Palestinian Arabic: Production and Perception

Nour Tamim, Silke Hamann

Acoustic and Prosodic Correlates of Emotions in Urdu Speech

Saba Urooj, Benazir Mumtaz, Sarmad Hussain, Ehsan ul Haq

The Four-Way Classification of Stops with Voicing and Aspiration for Non-Native Speech Evaluation

Titas Chakraborty, Vaishali Patil, Preeti Rao

Voicing Assimilations by French Speakers of German in Stop-Fricative Sequences

Anne Bonneau

System Performance as a Function of Calibration Methods, Sample Size and Sampling Variability in Likelihood Ratio-Based Forensic Voice Comparison

Bruce Xiao Wang, Vincent Hughes

“See what I mean, huh?” Evaluating Visual Inspection of F0Tracking in Nasal Grunts

Aurélie Chlébowski, Nicolas Ballier

A Lightweight Framework for Online Voice Activity Detection in the Wild

Xuenan Xu, Heinrich Dinkel, Mengyue Wu, Kai Yu

Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation

Saurabhchand Bhati, Jesus Villalba, Piotr Żelasko, Laureano Moro-Velazquez, Najim Dehak

End-to-End Transformer-Based Open-Vocabulary Keyword Spotting with Location-Guided Local Attention

Bo Wei, Meirong Yang, Tao Zhang, Xiao Tang, Xing Huang

FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications

Young D. Kwon, Jagmohan Chauhan, Cecilia Mascolo

Voice Activity Detection for Live Speech of Baseball Game Based on Tandem Connection with Speech/Noise Separation Model

Yuto Nonaka, Chee Siang Leow, Akio Kobayashi, Takehito Utsuro, Hiromitsu Nishizaki

Enrollment-Less Training for Personalized Voice Activity Detection

Naoki Makishima, Mana Ihori, Tomohiro Tanaka, Akihiko Takashima, Shota Orihashi

Audio-Visual Information Fusion Using Cross-Modal Teacher-Student Learning for Voice Activity Detection in Realistic Environments

Hengshun Zhou, Jun Du, Hang Chen, Zijun Jing, Shifu Xiong

Multi-Channel VAD for Transcription of Group Discussion

Osamu Ichikawa, Kaito Nakano, Takahiro Nakayama, Hajime Shirouzu

Noisy Student-Teacher Training for Robust Keyword Spotting

Hyun-Jin Park, Pai Zhu, Ignacio Lopez Moreno, Niranjan Subrahmanya

Noise-Tolerant Self-Supervised Learning for Audio-Visual Voice Activity Detection

Ui-Hyun Kim

Attention-Based Cross-Modal Fusion for Audio-Visual Voice Activity Detection in Musical Video Streams

Yuanbo Hou, Zhesong Yu, Xia Liang, Xingjian Du, Bilei Zhu

Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition

Max W.Y. Lam, Jun Wang, Chao Weng, Dan Su, Dong Yu

Rethinking Evaluation in ASR: Are Our Models Robust Enough?

Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Paden Tomasello, Jacob Kahn

Leveraging Phone Mask Training for Phonetic-Reduction-Robust E2E Uyghur Speech Recognition

Guodong Ma, Pengfei Hu, Jian Kang, Shen Huang, Hao Huang

Data Augmentation Methods for End-to-End Speech Recognition on Distant-Talk Scenarios

Emiru Tsunoo, Kentaro Shibata, Chaitanya Narisetty, Yosuke Kashiwagi, Shinji Watanabe

Multi-Channel Transformer Transducer for Speech Recognition

Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo

Scaling Sparsemax Based Channel Selection for Speech Recognition with ad-hoc Microphone Arrays

Junqi Chen, Xiao-Lei Zhang

IR-GAN: Room Impulse Response Generator for Far-Field Speech Recognition

Anton Ratnarajah, Zhenyu Tang, Dinesh Manocha

Noise Robust Acoustic Modeling for Single-Channel Speech Recognition Based on a Stream-Wise Transformer Architecture

Masakiyo Fujimoto, Hisashi Kawai

Speech Acoustic Modelling Using Raw Source and Filter Components

Erfan Loweimi, Zoran Cvetkovic, Peter Bell, Steve Renals

Phoneme Recognition Through Fine Tuning of Phonetic Representations: A Case Study on Luhya Language Varieties

Kathleen Siminyu, Xinjian Li, Antonios Anastasopoulos, David R. Mortensen, Michael R. Marlo

End-to-End Spelling Correction Conditioned on Acoustic Feature for Code-Switching Speech Recognition

SHUAI ZHANG, Jiangyan Yi, Zhengkun Tian, Ye Bai, Jianhua Tao

Leveraging ASR N-Best in Deep Entity Retrieval

Haoyu Wang, John Chen, Majid Laali, Kevin Durda, Jeff King

Domain-Specific Multi-Agent Dialog Policy Learning in Multi-Domain Task-Oriented Scenarios

Li Tang, Yuke Si, Longbiao Wang, Jianwu Dang

Semantic Transportation Prototypical Network for Few-Shot Intent Detection

Weiyuan Xu, Peilin Zhou, Chenyu You, Yuexian Zou

Neural Spoken-Response Generation Using Prosodic and Linguistic Context for Conversational Systems

Yoshihiro Yamazaki, Yuya Chiba, Takashi Nose, Akinori Ito

Dialogue Situation Recognition for Everyday Conversation Using Multimodal Information

Yuya Chiba, Ryuichiro Higashinaka

Act-Aware Slot-Value Predicting in Multi-Domain Dialogue State Tracking

Ruolin Su, Ting-Wei Wu, Biing-Hwang Juang

Self-Supervised Dialogue Learning for Spoken Conversational Question Answering

Nuo Chen, Chenyu You, Yuexian Zou

User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue Systems

Hoang Long Nguyen, Vincent Renkens, Joris Pelemans, Srividya Pranavi Potharaju, Anil Kumar Nalamalapu

Restoring Degraded Speech via a Modified Diffusion Model

Jianwei Zhang, Suren Jayasuriya, Visar Berisha

Incorporating Embedding Vectors from a Human Mean-Opinion Score Prediction Model for Monaural Speech Enhancement

Khandokar Md. Nayem, Donald S. Williamson

Self-Supervised Learning Based Phone-Fortified Speech Enhancement

Yuanhang Qiu, Ruili Wang, Satwinder Singh, Zhizhong Ma, Feng Hou

A Spectro-Temporal Glimpsing Index (STGI) for Speech Intelligibility Prediction

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

MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement

Szu-Wei Fu, Cheng Yu, Tsun-An Hsieh, Peter Plantinga, Mirco Ravanelli

Improving Perceptual Quality by Phone-Fortified Perceptual Loss Using Wasserstein Distance for Speech Enhancement

Tsun-An Hsieh, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao

Speech Enhancement with Weakly Labelled Data from AudioSet

Qiuqiang Kong, Haohe Liu, Xingjian Du, Li Chen, Rui Xia

Know Your Enemy, Know Yourself: A Unified Two-Stage Framework for Speech Enhancement

Wenzhe Liu, Andong Li, Yuxuan Ke, Chengshi Zheng, Xiaodong Li

Comparison of Remote Experiments Using Crowdsourcing and Laboratory Experiments on Speech Intelligibility

Ayako Yamamoto, Toshio Irino, Kenichi Arai, Shoko Araki, Atsunori Ogawa

Transfer Learning for Speech Intelligibility Improvement in Noisy Environments

Ritujoy Biswas, Karan Nathwani, Vinayak Abrol

Perceptual Contributions of Vowels and Consonant-Vowel Transitions in Understanding Time-Compressed Mandarin Sentences

Changjie Pan, Feng Yang, Fei Chen

Temporal Convolutional Network with Frequency Dimension Adaptive Attention for Speech Enhancement

Qiquan Zhang, Qi Song, Aaron Nicolson, Tian Lan, Haizhou Li

Funnel Deep Complex U-Net for Phase-Aware Speech Enhancement

Yuhang Sun, Linju Yang, Huifeng Zhu, Jie Hao

Speed up Training with Variable Length Inputs by Efficient Batching Strategies

Zhenhao Ge, Lakshmish Kaushik, Masanori Omote, Saket Kumar

PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS

Ye Jia, Heiga Zen, Jonathan Shen, Yu Zhang, Yonghui Wu

Transformer-Based Acoustic Modeling for Streaming Speech Synthesis

Chunyang Wu, Zhiping Xiu, Yangyang Shi, Ozlem Kalinli, Christian Fuegen

Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

Isaac Elias, Heiga Zen, Jonathan Shen, Yu Zhang, Ye Jia

Deliberation-Based Multi-Pass Speech Synthesis

Qingyun Dou, Xixin Wu, Moquan Wan, Yiting Lu, Mark J.F. Gales

Information Sieve: Content Leakage Reduction in End-to-End Prosody Transfer for Expressive Speech Synthesis

Xudong Dai, Cheng Gong, Longbiao Wang, Kaili Zhang

Phonetic and Prosodic Information Estimation from Texts for Genuine Japanese End-to-End Text-to-Speech

Naoto Kakegawa, Sunao Hara, Masanobu Abe, Yusuke Ijima

Sequence-to-Sequence Learning for Deep Gaussian Process Based Speech Synthesis Using Self-Attention GP Layer

Taiki Nakamura, Tomoki Koriyama, Hiroshi Saruwatari

FastPitchFormant: Source-Filter Based Decomposed Modeling for Speech Synthesis

Taejun Bak, Jae-Sung Bae, Hanbin Bae, Young-Ik Kim, Hoon-Young Cho

TacoLPCNet: Fast and Stable TTS by Conditioning LPCNet on Mel Spectrogram Predictions

Cheng Gong, Longbiao Wang, Ju Zhang, Shaotong Guo, Yuguang Wang

Serialized Multi-Layer Multi-Head Attention for Neural Speaker Embedding

Hongning Zhu, Kong Aik Lee, Haizhou Li

Phoneme-Aware and Channel-Wise Attentive Learning for Text Dependent Speaker Verification

Yan Liu, Zheng Li, Lin Li, Qingyang Hong

Y-Vector: Multiscale Waveform Encoder for Speaker Embedding

Ge Zhu, Fei Jiang, Zhiyao Duan

Mutual Information Enhanced Training for Speaker Embedding

Youzhi Tu, Man-Wai Mak

Binary Neural Network for Speaker Verification

Tinglong Zhu, Xiaoyi Qin, Ming Li

Improving Deep CNN Architectures with Variable-Length Training Samples for Text-Independent Speaker Verification

Yanfeng Wu, Junan Zhao, Chenkai Guo, Jing Xu

Improving Time Delay Neural Network Based Speaker Recognition with Convolutional Block and Feature Aggregation Methods

Yu-Jia Zhang, Yih-Wen Wang, Chia-Ping Chen, Chung-Li Lu, Bo-Cheng Chan

Bidirectional Multiscale Feature Aggregation for Speaker Verification

Jiajun Qi, Wu Guo, Bin Gu

Adaptive Convolutional Neural Network for Text-Independent Speaker Recognition

Seong-Hu Kim, Yong-Hwa Park

Phoneme-to-Audio Alignment with Recurrent Neural Networks for Speaking and Singing Voice

Yann Teytaut, Axel Roebel

Identification of F1 and F2 in Speech Using Modified Zero Frequency Filtering

RaviShankar Prasad, Mathew Magimai-Doss

Fricative Phoneme Detection Using Deep Neural Networks and its Comparison to Traditional Methods

Metehan Yurt, Pavan Kantharaju, Sascha Disch, Andreas Niedermeier, Alberto N. Escalante-B

A Benchmark of Dynamical Variational Autoencoders Applied to Speech Spectrogram Modeling

Xiaoyu Bie, Laurent Girin, Simon Leglaive, Thomas Hueber, Xavier Alameda-Pineda

EasyCall Corpus: A Dysarthric Speech Dataset

Rosanna Turrisi, Arianna Braccia, Marco Emanuele, Simone Giulietti, Maura Pugliatti

A Study into Pre-Training Strategies for Spoken Language Understanding on Dysarthric Speech

Pu Wang, Bagher BabaAli, Hugo Van hamme

Distortion of Voiced Obstruents for Differential Diagnosis Between Parkinson’s Disease and Multiple System Atrophy

Khalid Daoudi, Biswajit Das, Solange Milhé de Saint Victor, Alexandra Foubert-Samier, Anne Pavy-Le Traon

On Modeling Glottal Source Information for Phonation Assessment in Parkinson’s Disease

J.C. Vasquez-Correa, Julian Fritsch, J.R. Orozco-Arroyave, Elmar Nöth, Mathew Magimai-Doss

Acoustic Indicators of Speech Motor Coordination in Adults With and Without Traumatic Brain Injury

Tanya Talkar, Nancy Pearl Solomon, Douglas S. Brungart, Stefanie E. Kuchinsky, Megan M. Eitel

A Systematic Review and Analysis of Multilingual Data Strategies in Text-to-Speech for Low-Resource Languages

Phat Do, Matt Coler, Jelske Dijkstra, Esther Klabbers

Evaluating the Extrapolation Capabilities of Neural Vocoders to Extreme Pitch Values

Olivier Perrotin, Hussein El Amouri, Gérard Bailly, Thomas Hueber

T5G2P: Using Text-to-Text Transfer Transformer for Grapheme-to-Phoneme Conversion

Markéta Řezáčková, Jan Švec, Daniel Tihelka

Conversion of Airborne to Bone-Conducted Speech with Deep Neural Networks

Michael Pucher, Thomas Woltron