Skip to content
conftrace_

Interspeech 2020

1,035 papers

Sound Event Localization and Detection Based on Multiple DOA Beamforming and Multi-Task Learning

Wei Xue, Ying Tong, Chao Zhang, Guohong Ding, Xiaodong He

U-Net Based Direct-Path Dominance Test for Robust Direction-of-Arrival Estimation

Hao Wang, Kai Chen, Jing LU

Instantaneous Time Delay Estimation of Broadband Signals

B.H.V.S. Narayana Murthy, J.V. Satyanarayana, Nivedita Chennupati, B. Yegnanarayana

Acoustic Signal Enhancement Using Relative Harmonic Coefficients: Spherical Harmonics Domain Approach

Yonggang Hu, Prasanga N. Samarasinghe, Thushara D. Abhayapala

The Importance of Time-Frequency Averaging for Binaural Speaker Localization in Reverberant Environments

Hanan Beit-On, Vladimir Tourbabin, Boaz Rafaely

Single-Channel Blind Direct-to-Reverberation Ratio Estimation Using Masking

Wolfgang Mack, Shuwen Deng, Emanuël A.P. Habets

Online Blind Reverberation Time Estimation Using CRNNs

Shuwen Deng, Wolfgang Mack, Emanuël A.P. Habets

Effect of Microphone Position Measurement Error on RIR and its Impact on Speech Intelligibility and Quality

Aditya Raikar, Karan Nathwani, Ashish Panda, Sunil Kumar Kopparapu

Spatial Resolution of Early Reflection for Speech and White Noise

Xiaoli Zhong, Hao Song, Xuejie Liu

Sparseness-Aware DOA Estimation with Majorization Minimization

Masahito Togami, Robin Scheibler

Exploring Transformers for Large-Scale Speech Recognition

Liang Lu, Changliang Liu, Jinyu Li, Yifan Gong

Conformer: Convolution-augmented Transformer for Speech Recognition

Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang

Cross Attention with Monotonic Alignment for Speech Transformer

Yingzhu Zhao, Chongjia Ni, Cheung-Chi Leung, Shafiq Joty, Eng Siong Chng

Spike-Triggered Non-Autoregressive Transformer for End-to-End Speech Recognition

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

Universal Speech Transformer

Yingzhu Zhao, Chongjia Ni, Cheung-Chi Leung, Shafiq Joty, Eng Siong Chng

Self-and-Mixed Attention Decoder with Deep Acoustic Structure for Transformer-Based LVCSR

Xinyuan Zhou, Grandee Lee, Emre Yılmaz, Yanhua Long, Jiaen Liang

Transformer-Based Long-Context End-to-End Speech Recognition

Takaaki Hori, Niko Moritz, Chiori Hori, Jonathan Le Roux

Improving Transformer-Based Speech Recognition with Unsupervised Pre-Training and Multi-Task Semantic Knowledge Learning

Song Li, Lin Li, Qingyang Hong, Lingling Liu

Conv-Transformer Transducer: Low Latency, Low Frame Rate, Streamable End-to-End Speech Recognition

Wenyong Huang, Wenchao Hu, Yu Ting Yeung, Xiao Chen

Weak-Attention Suppression for Transformer Based Speech Recognition

Yangyang Shi, Yongqiang Wang, Chunyang Wu, Christian Fuegen, Frank Zhang

Automatic Discrimination of Apraxia of Speech and Dysarthria Using a Minimalistic Set of Handcrafted Features

Ina Kodrasi, Michaela Pernon, Marina Laganaro, Hervé Bourlard

Aphasic Speech Recognition Using a Mixture of Speech Intelligibility Experts

Matthew Perez, Zakaria Aldeneh, Emily Mower Provost

Spectral Moment and Duration of Burst of Plosives in Speech of Children with Hearing Impairment and Typically Developing Children — A Comparative Study

Ajish K. Abraham, M. Pushpavathi, N. Sreedevi, A. Navya, C.M. Vikram

Automatic Prediction of Speech Intelligibility Based on X-Vectors in the Context of Head and Neck Cancer

Sebastião Quintas, Julie Mauclair, Virginie Woisard, Julien Pinquier

Parkinson’s Disease Detection from Speech Using Single Frequency Filtering Cepstral Coefficients

Sudarsana Reddy Kadiri, Rashmi Kethireddy, Paavo Alku

Classification of Manifest Huntington Disease Using Vowel Distortion Measures

Amrit Romana, John Bandon, Noelle Carlozzi, Angela Roberts, Emily Mower Provost

Improving Detection of Alzheimer’s Disease Using Automatic Speech Recognition to Identify High-Quality Segments for More Robust Feature Extraction

Yilin Pan, Bahman Mirheidari, Markus Reuber, Annalena Venneri, Daniel Blackburn

Hybrid Network Feature Extraction for Depression Assessment from Speech

Ziping Zhao, Qifei Li, Nicholas Cummins, Bin Liu, Haishuai Wang

An Evaluation of the Effect of Anxiety on Speech — Computational Prediction of Anxiety from Sustained Vowels

Alice Baird, Nicholas Cummins, Sebastian Schnieder, Jarek Krajewski, Bjorn W. Schuller

An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety

Jing Han, Kun Qian, Meishu Song, Zijiang Yang, Zhao Ren

Language Modeling for Speech Analytics in Under-Resourced Languages

Simone Wills, Pieter Uys, Charl van Heerden, Etienne Barnard

Improving Speech Recognition of Compound-Rich Languages

Prabhat Pandey, Volker Leutnant, Simon Wiesler, Jahn Heymann, Daniel Willett

Contemporary Polish Language Model (Version 2) Using Big Data and Sub-Word Approach

Krzysztof Wołk

Language Model Data Augmentation Based on Text Domain Transfer

Atsunori Ogawa, Naohiro Tawara, Marc Delcroix

Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus

Cal Peyser, Sepand Mavandadi, Tara N. Sainath, James Apfel, Ruoming Pang

Efficient MDI Adaptation for n-Gram Language Models

Ruizhe Huang, Ke Li, Ashish Arora, Daniel Povey, Sanjeev Khudanpur

Multimodal Semi-Supervised Learning Framework for Punctuation Prediction in Conversational Speech

Monica Sunkara, Srikanth Ronanki, Dhanush Bekal, Sravan Bodapati, Katrin Kirchhoff

Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings?

Łukasz Augustyniak, Piotr Szymański, Mikołaj Morzy, Piotr Żelasko, Adrian Szymczak

Augmenting Images for ASR and TTS Through Single-Loop and Dual-Loop Multimodal Chain Framework

Johanes Effendi, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura

Classify Imaginary Mandarin Tones with Cortical EEG Signals

Hua Li, Fei Chen

Glottal Closure Instants Detection from EGG Signal by Classification Approach

Gurunath Reddy M., K. Sreenivasa Rao, Partha Pratim Das

Decoding Imagined, Heard, and Spoken Speech: Classification and Regression of EEG Using a 14-Channel Dry-Contact Mobile Headset

Jonathan Clayton, Scott Wellington, Cassia Valentini-Botinhao, Oliver Watts

Perceptimatic: A Human Speech Perception Benchmark for Unsupervised Subword Modelling

Juliette MILLET, Ewan Dunbar

Self-Expressing Autoencoders for Unsupervised Spoken Term Discovery

Saurabhchand Bhati, Jesus Villalba, Piotr Żelasko, Najim Dehak

Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics

Okko Rasanen, María Andrea Cruz Blandón

Unsupervised Acoustic Unit Representation Learning for Voice Conversion Using WaveNet Auto-Encoders

Mingjie Chen, Thomas Hain

Cyclic Spectral Modeling for Unsupervised Unit Discovery into Voice Conversion with Excitation and Waveform Modeling

Patrick Lumban Tobing, Tomoki Hayashi, YI-CHIAO WU, Kazuhiro Kobayashi, Tomoki Toda

Exploring TTS Without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020)

Takashi Morita, Hiroki Koda

Transformer VQ-VAE for Unsupervised Unit Discovery and Speech Synthesis: ZeroSpeech 2020 Challenge

Andros Tjandra, Sakriani Sakti, Satoshi Nakamura

Vector Quantized Temporally-Aware Correspondence Sparse Autoencoders for Zero-Resource Acoustic Unit Discovery

Batuhan Gundogdu, Bolaji Yusuf, Mansur Yesilbursa, Murat Saraclar

Exploration of End-to-End Synthesisers for Zero Resource Speech Challenge 2020

Karthik Pandia D.S., Anusha Prakash, Mano Ranjith Kumar M., Hema A. Murthy

Vector-Quantized Neural Networks for Acoustic Unit Discovery in the ZeroSpeech 2020 Challenge

Benjamin Van Niekerk, Leanne Nortje, Herman Kamper

The Zero Resource Speech Challenge 2020: Discovering Discrete Subword and Word Units

Ewan Dunbar, Julien Karadayi, Mathieu Bernard, Xuan-Nga Cao, Robin Algayres

Detecting and Analysing Spontaneous Oral Cancer Speech in the Wild

Bence Mark Halpern, Rob van Son, Michiel van den Brekel, Odette Scharenborg

Recognising Emotions in Dysarthric Speech Using Typical Speech Data

Lubna Alhinti, Stuart Cunningham, Heidi Christensen

Acoustic-Based Articulatory Phenotypes of Amyotrophic Lateral Sclerosis and Parkinson’s Disease: Towards an Interpretable, Hypothesis-Driven Framework of Motor Control

Hannah P. Rowe, Sarah E. Gutz, Marc F. Maffei, Jordan R. Green

Coswara — A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis

Neeraj Sharma, Prashant Krishnan, Rohit Kumar, Shreyas Ramoji, Srikanth Raj Chetupalli

Acoustic Feature Extraction with Interpretable Deep Neural Network for Neurodegenerative Related Disorder Classification

Yilin Pan, Bahman Mirheidari, Zehai Tu, Ronan O’Malley, Traci Walker

Automatic Glottis Detection and Segmentation in Stroboscopic Videos Using Convolutional Networks

Divya Degala, Achuth Rao M.V., Rahul Krishnamurthy, Pebbili Gopikishore, Veeramani Priyadharshini

Dysarthric Speech Recognition Based on Deep Metric Learning

Yuki Takashima, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki

Staged Knowledge Distillation for End-to-End Dysarthric Speech Recognition and Speech Attribute Transcription

Yuqin Lin, Longbiao Wang, Sheng Li, Jianwu Dang, Chenchen Ding

Automatic Assessment of Dysarthric Severity Level Using Audio-Video Cross-Modal Approach in Deep Learning

Han Tong, Hamid Sharifzadeh, Ian McLoughlin

Increasing the Intelligibility and Naturalness of Alaryngeal Speech Using Voice Conversion and Synthetic Fundamental Frequency

Tuan Dinh, Alexander Kain, Robin Samlan, Beiming Cao, Jun Wang

Towards Context-Aware End-to-End Code-Switching Speech Recognition

Zimeng Qiu, Yiyuan Li, Xinjian Li, Florian Metze, William M. Campbell

Improving Low Resource Code-Switched ASR Using Augmented Code-Switched TTS

Yash Sharma, Basil Abraham, Karan Taneja, Preethi Jyothi

Bi-Encoder Transformer Network for Mandarin-English Code-Switching Speech Recognition Using Mixture of Experts

Yizhou Lu, Mingkun Huang, Hao Li, Jiaqi Guo, Yanmin Qian

Style Variation as a Vantage Point for Code-Switching

Khyathi Raghavi Chandu, Alan W. Black

Multilingual Speech Recognition Using Language-Specific Phoneme Recognition as Auxiliary Task for Indian Languages

Hardik B. Sailor, Thomas Hain

Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters

Vineel Pratap, Anuroop Sriram, Paden Tomasello, Awni Hannun, Vitaliy Liptchinsky

Lattice-Free Maximum Mutual Information Training of Multilingual Speech Recognition Systems

Srikanth Madikeri, Banriskhem K. Khonglah, Sibo Tong, Petr Motlicek, Hervé Bourlard

Multilingual Speech Recognition with Self-Attention Structured Parameterization

Yun Zhu, Parisa Haghani, Anshuman Tripathi, Bhuvana Ramabhadran, Brian Farris

Transliteration Based Data Augmentation for Training Multilingual ASR Acoustic Models in Low Resource Settings

Samuel Thomas, Kartik Audhkhasi, Brian Kingsbury

Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation

Changhan Wang, Juan Pino, Jiatao Gu

Voice Conversion Using Speech-to-Speech Neuro-Style Transfer

Ehab A. AlBadawy, Siwei Lyu

Transferring Source Style in Non-Parallel Voice Conversion

Songxiang Liu, Yuewen Cao, Shiyin Kang, Na Hu, Xunying Liu

Non-Parallel Voice Conversion with Fewer Labeled Data by Conditional Generative Adversarial Networks

Minchuan Chen, Weijian Hou, Jun Ma, Shaojun Wang, Jing Xiao

Improved Zero-Shot Voice Conversion Using Explicit Conditioning Signals

Shahan Nercessian

ARVC: An Auto-Regressive Voice Conversion System Without Parallel Training Data

Zheng Lian, Zhengqi Wen, Xinyong Zhou, Songbai Pu, Shengkai Zhang

Dynamic Speaker Representations Adjustment and Decoder Factorization for Speaker Adaptation in End-to-End Speech Synthesis

Ruibo Fu, Jianhua Tao, Zhengqi Wen, Jiangyan Yi, Tao Wang

Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion Without Parallel Data

Seung-won Park, Doo-young Kim, Myun-chul Joe

VQVC+: One-Shot Voice Conversion by Vector Quantization and U-Net Architecture

Da-Yi Wu, Yen-Hao Chen, Hung-yi Lee

Enhancing Intelligibility of Dysarthric Speech Using Gated Convolutional-Based Voice Conversion System

Chen-Yu Chen, Wei-Zhong Zheng, Syu-Siang Wang, Yu Tsao, Pei-Chun Li

Nonparallel Training of Exemplar-Based Voice Conversion System Using INCA-Based Alignment Technique

Hitoshi Suda, Gaku Kotani, Daisuke Saito

Voice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech Pretraining

Wen-Chin Huang, Tomoki Hayashi, YI-CHIAO WU, Hirokazu Kameoka, Tomoki Toda

Detecting Audio Attacks on ASR Systems with Dropout Uncertainty

Tejas Jayashankar, Jonathan Le Roux, Pierre Moulin

Privacy Guarantees for De-Identifying Text Transformations

David Ifeoluwa Adelani, Ali Davody, Thomas Kleinbauer, Dietrich Klakow

Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification

Sina Däubener, Lea Schönherr, Asja Fischer, Dorothea Kolossa

Hide and Speak: Towards Deep Neural Networks for Speech Steganography

Felix Kreuk, Yossi Adi, Bhiksha Raj, Rita Singh, Joseph Keshet

Perception of Privacy Measured in the Crowd — Paired Comparison on the Effect of Background Noises

Anna Leschanowsky, Sneha Das, Tom Bäckström, Pablo Pérez Zarazaga

Distributed Summation Privacy for Speech Enhancement

Matt O’Connor, W. Bastiaan Kleijn

Spectrum Correction: Acoustic Scene Classification with Mismatched Recording Devices

Michał Kośmider

Effect of Spectral Complexity Reduction and Number of Instruments on Musical Enjoyment with Cochlear Implants

Avamarie Brueggeman, John H.L. Hansen

A Pyramid Recurrent Network for Predicting Crowdsourced Speech-Quality Ratings of Real-World Signals

Xuan Dong, Donald S. Williamson

Frame-Level Signal-to-Noise Ratio Estimation Using Deep Learning

Hao Li, Deliang Wang, Xueliang Zhang, Guanglai Gao

Evaluating the Reliability of Acoustic Speech Embeddings

Robin Algayres, Mohamed Salah Zaiem, Benoît Sagot, Emmanuel Dupoux

Development of a Speech Quality Database Under Uncontrolled Conditions

Alessandro Ragano, Emmanouil Benetos, Andrew Hines

Exploration of Audio Quality Assessment and Anomaly Localisation Using Attention Models

Qiang Huang, Thomas Hain

Investigating the Visual Lombard Effect with Gabor Based Features

Waito Chiu, Yan Xu, Andrew Abel, Chun Lin, Zhengzheng Tu

Subjective Quality Evaluation of Speech Signals Transmitted via BPL-PLC Wired System

Przemyslaw Falkowski-Gilski, Grzegorz Debita, Marcin Habrych, Bogdan Miedzinski, Przemyslaw Jedlikowski

Improving Replay Detection System with Channel Consistency DenseNeXt for the ASVspoof 2019 Challenge

Chao Zhang, Junjie Cheng, Yanmei Gu, Huacan Wang, Jun Ma