Interspeech 2021

999 papers

A Hands-On Comparison of DNNs for Dialog Separation Using Transfer Learning from Music Source Separation

Martin Strauss, Jouni Paulus, Matteo Torcoli, Bernd Edler

Combating Reverberation in NTF-Based Speech Separation Using a Sub-Source Weighted Multichannel Wiener Filter and Linear Prediction

Mieszko Fraś, Marcin Witkowski, Konrad Kowalczyk

Many-Speakers Single Channel Speech Separation with Optimal Permutation Training

Shaked Dovrat, Eliya Nachmani, Lior Wolf

Prosodic Boundary Prediction Model for Vietnamese Text-To-Speech

Nguyen Thi Thu Trang, Nguyen Hoang Ky, Albert Rilliard, Christophe d'Alessandro

ADEPT: A Dataset for Evaluating Prosody Transfer

Alexandra Torresquintero, Tian Huey Teh, Christopher G.R. Wallis, Marlene Staib, Devang S. Ram Mohan

Ctrl-P: Temporal Control of Prosodic Variation for Speech Synthesis

Devang S. Ram Mohan, Vivian Hu, Tian Huey Teh, Alexandra Torresquintero, Christopher G.R. Wallis

Exploring Emotional Prototypes in a High Dimensional TTS Latent Space

Pol van Rijn, Silvan Mertes, Dominik Schiller, Peter M.C. Harrison, Pauline Larrouy-Maestri

Alternate Endings: Improving Prosody for Incremental Neural TTS with Predicted Future Text Input

Brooke Stephenson, Thomas Hueber, Laurent Girin, Laurent Besacier

Simulating Reading Mistakes for Child Speech Transformer-Based Phone Recognition

Lucile Gelin, Thomas Pellegrini, Julien Pinquier, Morgane Daniel

Learning to Rank Microphones for Distant Speech Recognition

Samuele Cornell, Alessio Brutti, Marco Matassoni, Stefano Squartini

Age-Invariant Training for End-to-End Child Speech Recognition Using Adversarial Multi-Task Learning

Lars Rumberg, Hanna Ehlert, Ulrike Lüdtke, Jorn Ostermann

ETLT 2021: Shared Task on Automatic Speech Recognition for Non-Native Children’s Speech

R. Gretter, Marco Matassoni, D. Falavigna, A. Misra, C.W. Leong

Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-Field Speech Recognition

Rong Gong, Carl Quillen, Dushyant Sharma, Andrew Goderre, José Laínez

Modular Multi-Modal Attention Network for Alzheimer’s Disease Detection Using Patient Audio and Language Data

Ning Wang, Yupeng Cao, Shuai Hao, Zongru Shao, K.p. Subbalakshmi

Automatic Detection of Alzheimer’s Disease Using Spontaneous Speech Only

Jun Chen, Jieping Ye, Fengyi Tang, Jiayu Zhou

Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios

Raghavendra Pappagari, Jaejin Cho, Sonal Joshi, Laureano Moro-Velazquez, Piotr Żelasko

Alzheimer’s Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs

Morteza Rohanian, Julian Hough, Matthew Purver

Tackling the ADRESSO Challenge 2021: The MUET-RMIT System for Alzheimer’s Dementia Recognition from Spontaneous Speech

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

Using the Outputs of Different Automatic Speech Recognition Paradigms for Acoustic- and BERT-Based Alzheimer’s Dementia Detection Through Spontaneous Speech

Yilin Pan, Bahman Mirheidari, Jennifer M. Harris, Jennifer C. Thompson, Matthew Jones

Alzheimer’s Disease Detection from Spontaneous Speech Through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models

Yu Qiao, Xuefeng Yin, Daniel Wiechmann, Elma Kerz

Comparing Acoustic-Based Approaches for Alzheimer’s Disease Detection

Aparna Balagopalan, Jekaterina Novikova

Alzheimer Disease Recognition Using Speech-Based Embeddings From Pre-Trained Models

Lara Gauder, Leonardo Pepino, Luciana Ferrer, Pablo Riera

WavBERT: Exploiting Semantic and Non-Semantic Speech Using Wav2vec and BERT for Dementia Detection

Youxiang Zhu, Abdelrahman Obyat, Xiaohui Liang, John A. Batsis, Robert M. Roth

Influence of the Interviewer on the Automatic Assessment of Alzheimer’s Disease in the Context of the ADReSSo Challenge

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

Detecting Cognitive Decline Using Speech Only: The ADReSSo Challenge

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

VAENAR-TTS: Variational Auto-Encoder Based Non-AutoRegressive Text-to-Speech Synthesis

Hui Lu, Zhiyong Wu, Xixin Wu, Xu Li, Shiyin Kang

Align-Denoise: Single-Pass Non-Autoregressive Speech Recognition

Nanxin Chen, Piotr Żelasko, Laureano Moro-Velazquez, Jesus Villalba, Najim Dehak

WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis

Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi

TalkNet: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis

Stanislav Beliaev, Boris Ginsburg

Streaming End-to-End ASR Based on Blockwise Non-Autoregressive Models

Tianzi Wang, Yuya Fujita, Xuankai Chang, Shinji Watanabe

Real-Time End-to-End Monaural Multi-Speaker Speech Recognition

Song Li, Beibei Ouyang, Fuchuan Tong, Dexin Liao, Lin Li

Layer Pruning on Demand with Intermediate CTC

Jaesong Lee, Jingu Kang, Shinji Watanabe

Toward Streaming ASR with Non-Autoregressive Insertion-Based Model

Yuya Fujita, Tianzi Wang, Shinji Watanabe, Motoi Omachi

Relaxing the Conditional Independence Assumption of CTC-Based ASR by Conditioning on Intermediate Predictions

Jumon Nozaki, Tatsuya Komatsu

Non-Autoregressive Predictive Coding for Learning Speech Representations from Local Dependencies

Alexander H. Liu, Yu-An Chung, James Glass

Pushing the Limits of Non-Autoregressive Speech Recognition

Edwin G. Ng, Chung-Cheng Chiu, Yu Zhang, William Chan

Multi-Speaker ASR Combining Non-Autoregressive Conformer CTC and Conditional Speaker Chain

Pengcheng Guo, Xuankai Chang, Shinji Watanabe, Lei Xie

An Improved Single Step Non-Autoregressive Transformer for Automatic Speech Recognition

Ruchao Fan, Wei Chu, Peng Chang, Jing Xiao, Abeer Alwan

speechocean762: An Open-Source Non-Native English Speech Corpus for Pronunciation Assessment

Junbo Zhang, Zhiwen Zhang, Yongqing Wang, Zhiyong Yan, Qiong Song

kosp2e: Korean Speech to English Translation Corpus

Won Ik Cho, Seok Min Kim, Hyunchang Cho, Nam Soo Kim

Towards Automatic Speech to Sign Language Generation

Parul Kapoor, Rudrabha Mukhopadhyay, Sindhu B. Hegde, Vinay Namboodiri, C.V. Jawahar

Europarl-ASR: A Large Corpus of Parliamentary Debates for Streaming ASR Benchmarking and Speech Data Filtering/Verbatimization

Gonçal V. Garcés Díaz-Munío, Joan-Albert Silvestre-Cerdà, Javier Jorge, Adrià Giménez Pastor, Javier Iranzo-Sánchez

Annotation Confidence vs. Training Sample Size: Trade-Off Solution for Partially-Continuous Categorical Emotion Recognition

Elena Ryumina, Oxana Verkholyak, Alexey Karpov

Human-in-the-Loop Efficiency Analysis for Binary Classification in Edyson

Per Fallgren, Jens Edlund

AusKidTalk: An Auditory-Visual Corpus of 3- to 12-Year-Old Australian Children’s Speech

Beena Ahmed, Kirrie J. Ballard, Denis Burnham, Tharmakulasingam Sirojan, Hadi Mehmood

Look Who’s Talking: Active Speaker Detection in the Wild

You Jin Kim, Hee-soo Heo, Soyeon Choe, Soo-Whan Chung, Yoohwan Kwon

GigaSpeech: An Evolving, Multi-Domain ASR Corpus with 10,000 Hours of Transcribed Audio

Guoguo Chen, Shuzhou Chai, Guan-Bo Wang, Jiayu Du, Wei-Qiang Zhang

AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario

Yihui Fu, Luyao Cheng, Shubo Lv, Yukai Jv, Yuxiang Kong

Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments

David R. Mortensen, Jordan Picone, Xinjian Li, Kathleen Siminyu

The Multilingual TEDx Corpus for Speech Recognition and Translation

Elizabeth Salesky, Matthew Wiesner, Jacob Bremerman, Roldano Cattoni, Matteo Negri

Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset

Ian Palmer, Andrew Rouditchenko, Andrei Barbu, Boris Katz, James Glass

SC-GlowTTS: An Efficient Zero-Shot Multi-Speaker Text-To-Speech Model

Edresson Casanova, Christopher Shulby, Eren Gölge, Nicolas Michael Müller, Frederico Santos de Oliveira

Triple M: A Practical Text-to-Speech Synthesis System with Multi-Guidance Attention and Multi-Band Multi-Time LPCNet

Shilun Lin, Fenglong Xie, Li Meng, Xinhui Li, Li Lu

Reinforce-Aligner: Reinforcement Alignment Search for Robust End-to-End Text-to-Speech

Hyunseung Chung, Sang-Hoon Lee, Seong-Whan Lee

Relational Data Selection for Data Augmentation of Speaker-Dependent Multi-Band MelGAN Vocoder

YI-CHIAO WU, Cheng-Hung Hu, Hung-Shin Lee, Yu-Huai Peng, Wen-Chin Huang

A Universal Multi-Speaker Multi-Style Text-to-Speech via Disentangled Representation Learning Based on Rényi Divergence Minimization

Dipjyoti Paul, Sankar Mukherjee, Yannis Pantazis, Yannis Stylianou

A Learned Conditional Prior for the VAE Acoustic Space of a TTS System

Penny Karanasou, Sri Karlapati, Alexis Moinet, Arnaud Joly, Ammar Abbas

Speech Resynthesis from Discrete Disentangled Self-Supervised Representations

Adam Polyak, Yossi Adi, Jade Copet, Eugene Kharitonov, Kushal Lakhotia

Hierarchical Context-Aware Transformers for Non-Autoregressive Text to Speech

Jae-Sung Bae, Taejun Bak, Young-Sun Joo, Hoon-Young Cho

Diff-TTS: A Denoising Diffusion Model for Text-to-Speech

Myeonghun Jeong, Hyeongju Kim, Sung Jun Cheon, Byoung Jin Choi, Nam Soo Kim

Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration

Chuanxin Tang, Chong Luo, Zhiyuan Zhao, Dacheng Yin, Yucheng Zhao

LiteTTS: A Lightweight Mel-Spectrogram-Free Text-to-Wave Synthesizer Based on Generative Adversarial Networks

Huu-Kim Nguyen, Kihyuk Jeong, Seyun Um, Min-Jae Hwang, Eunwoo Song

Federated Learning with Dynamic Transformer for Text to Speech

Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Jie Liu, Chendong Zhao

Speaker Diarization Using Two-Pass Leave-One-Out Gaussian PLDA Clustering of DNN Embeddings

Kiran Karra, Alan McCree

Anonymous Speaker Clusters: Making Distinctions Between Anonymised Speech Recordings with Clustering Interface

Benjamin O’Brien, Natalia Tomashenko, Anaïs Chanclu, Jean-Francois Bonastre

Robust End-to-End Speaker Diarization with Conformer and Additive Margin Penalty

Tsun-Yat Leung, Lahiru Samarakoon

The Third DIHARD Diarization Challenge

Neville Ryant, Prachi Singh, Venkat Krishnamohan, Rajat Varma, Kenneth Church

Advances in Integration of End-to-End Neural and Clustering-Based Diarization for Real Conversational Speech

Keisuke Kinoshita, Marc Delcroix, Naohiro Tawara

ECAPA-TDNN Embeddings for Speaker Diarization

Nauman Dawalatabad, Mirco Ravanelli, François Grondin, Jenthe Thienpondt, Brecht Desplanques

Target-Speaker Voice Activity Detection with Improved i-Vector Estimation for Unknown Number of Speaker

Maokui He, Desh Raj, Zili Huang, Jun Du, Zhuo Chen

Investigation of Spatial-Acoustic Features for Overlapping Speech Detection in Multiparty Meetings

Shiliang Zhang, Siqi Zheng, Weilong Huang, Ming Lei, Hongbin Suo

LEAP Submission for the Third DIHARD Diarization Challenge

Prachi Singh, Rajat Varma, Venkat Krishnamohan, Srikanth Raj Chetupalli, Sriram Ganapathy

Deep Audio-Visual Speech Separation Based on Facial Motion

Rémi Rigal, Jacques Chodorowski, Benoît Zerr

Neural Speaker Extraction with Speaker-Speech Cross-Attention Network

Wupeng Wang, Chenglin Xu, Meng Ge, Haizhou Li

Robust Speaker Extraction Network Based on Iterative Refined Adaptation

Chengyun Deng, Shiqian Ma, Yongtao Sha, Yi Zhang, Hui Zhang

Improved Speech Separation with Time-and-Frequency Cross-Domain Feature Selection

Tian Lan, Yuxin Qian, Yilan Lyu, Refuoe Mokhosi, Wenxin Tai

Speaker Verification-Based Evaluation of Single-Channel Speech Separation

Matthew Maciejewski, Shinji Watanabe, Sanjeev Khudanpur

Vocal Harmony Separation Using Time-Domain Neural Networks

Saurjya Sarkar, Emmanouil Benetos, Mark Sandler

AvaTr: One-Shot Speaker Extraction with Transformers

Shell Xu Hu, Md. Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow

Binaural Speech Separation of Moving Speakers With Preserved Spatial Cues

Cong Han, Yi Luo, Nima Mesgarani

Few-Shot Learning of New Sound Classes for Target Sound Extraction

Marc Delcroix, Jorge Bennasar Vázquez, Tsubasa Ochiai, Keisuke Kinoshita, Shoko Araki

Teacher-Student MixIT for Unsupervised and Semi-Supervised Speech Separation

Jisi Zhang, Cătălin Zorilă, Rama Doddipatla, Jon Barker

Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers

Thilo von Neumann, Keisuke Kinoshita, Christoph Boeddeker, Marc Delcroix, Reinhold Haeb-Umbach

Empirical Analysis of Generalized Iterative Speech Separation Networks

Yi Luo, Cong Han, Nima Mesgarani

Online Blind Audio Source Separation Using Recursive Expectation-Maximization

Aviad Eisenberg, Boaz Schwartz, Sharon Gannot

Arabic Code-Switching Speech Recognition Using Monolingual Data

Ahmed Ali, Shammur Absar Chowdhury, Amir Hussein, Yasser Hifny

Improving Multilingual Transformer Transducer Models by Reducing Language Confusions

Eric Sun, Jinyu Li, Zhong Meng, Yu Wu, Jian Xue

Earnings-21: A Practical Benchmark for ASR in the Wild

Miguel Del Rio, Natalie Delworth, Ryan Westerman, Michelle Huang, Nishchal Bhandari

Exploring Targeted Universal Adversarial Perturbations to End-to-End ASR Models

Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao

Listen with Intent: Improving Speech Recognition with Audio-to-Intent Front-End

Swayambhu Nath Ray, Minhua Wu, Anirudh Raju, Pegah Ghahremani, Raghavendra Bilgi

Knowledge Distillation Based Training of Universal ASR Source Models for Cross-Lingual Transfer

Takashi Fukuda, Samuel Thomas

Reduce and Reconstruct: ASR for Low-Resource Phonetic Languages

Anuj Diwan, Preethi Jyothi

Reducing Streaming ASR Model Delay with Self Alignment

Jaeyoung Kim, Han Lu, Anshuman Tripathi, Qian Zhang, Haşim Sak

On Minimum Word Error Rate Training of the Hybrid Autoregressive Transducer

Liang Lu, Zhong Meng, Naoyuki Kanda, Jinyu Li, Yifan Gong

Large-Scale Pre-Training of End-to-End Multi-Talker ASR for Meeting Transcription with Single Distant Microphone

Naoyuki Kanda, Guoli Ye, Yu Wu, Yashesh Gaur, Xiaofei Wang

Cross-Domain Speech Recognition with Unsupervised Character-Level Distribution Matching

Wenxin Hou, Jindong Wang, Xu Tan, Tao Qin, Takahiro Shinozaki

Leveraging Pre-Trained Language Model for Speech Sentiment Analysis

Suwon Shon, Pablo Brusco, Jing Pan, Kyu J. Han, Shinji Watanabe

Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech

Aaron Keesing, Yun Sing Koh, Michael Witbrock

Applying TDNN Architectures for Analyzing Duration Dependencies on Speech Emotion Recognition

Pooja Kumawat, Aurobinda Routray

Graph Isomorphism Network for Speech Emotion Recognition

Jiawang Liu, Haoxiang Wang