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ORCID22nd Interspeech 2021: Brno, Czechia
- Hynek Hermansky, Honza Cernocký, Lukás Burget, Lori Lamel, Odette Scharenborg, Petr Motlícek:
Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August - 3 September 2021. ISCA 2021
Speech Synthesis: Other Topics
- Michael Pucher, Thomas Woltron:
Conversion of Airborne to Bone-Conducted Speech with Deep Neural Networks. 1-5 - Markéta Rezácková, Jan Svec
, Daniel Tihelka:
T5G2P: Using Text-to-Text Transfer Transformer for Grapheme-to-Phoneme Conversion. 6-10 - Olivier Perrotin, Hussein El Amouri, Gérard Bailly, Thomas Hueber:
Evaluating the Extrapolation Capabilities of Neural Vocoders to Extreme Pitch Values. 11-15 - Phat Do, Matt Coler, Jelske Dijkstra, Esther Klabbers:
A Systematic Review and Analysis of Multilingual Data Strategies in Text-to-Speech for Low-Resource Languages. 16-20
Disordered Speech
- Tanya Talkar, Nancy Pearl Solomon, Douglas S. Brungart, Stefanie E. Kuchinsky, Megan M. Eitel, Sara M. Lippa, Tracey A. Brickell, Louis M. French, Rael T. Lange, Thomas F. Quatieri:
Acoustic Indicators of Speech Motor Coordination in Adults With and Without Traumatic Brain Injury. 21-25 - Juan Camilo Vásquez-Correa, Julian Fritsch, Juan Rafael Orozco-Arroyave, Elmar Nöth, Mathew Magimai-Doss:
On Modeling Glottal Source Information for Phonation Assessment in Parkinson's Disease. 26-30 - Khalid Daoudi, Biswajit Das, Solange Milhé de Saint Victor, Alexandra Foubert-Samier, Anne Pavy-Le Traon, Olivier Rascol, Wassilios G. Meissner, Virginie Woisard:
Distortion of Voiced Obstruents for Differential Diagnosis Between Parkinson's Disease and Multiple System Atrophy. 31-35 - Pu Wang, Bagher BabaAli, Hugo Van hamme:
A Study into Pre-Training Strategies for Spoken Language Understanding on Dysarthric Speech. 36-40 - Rosanna Turrisi, Arianna Braccia, Marco Emanuele, Simone Giulietti, Maura Pugliatti, Mariachiara Sensi, Luciano Fadiga, Leonardo Badino:
EasyCall Corpus: A Dysarthric Speech Dataset. 41-45
Speech Signal Analysis and Representation II
- Xiaoyu Bie, Laurent Girin, Simon Leglaive, Thomas Hueber, Xavier Alameda-Pineda:
A Benchmark of Dynamical Variational Autoencoders Applied to Speech Spectrogram Modeling. 46-50 - Metehan Yurt, Pavan Kantharaju, Sascha Disch, Andreas Niedermeier, Alberto N. Escalante-B., Veniamin I. Morgenshtern:
Fricative Phoneme Detection Using Deep Neural Networks and its Comparison to Traditional Methods. 51-55 - RaviShankar Prasad, Mathew Magimai-Doss:
Identification of F1 and F2 in Speech Using Modified Zero Frequency Filtering. 56-60 - Yann Teytaut, Axel Roebel:
Phoneme-to-Audio Alignment with Recurrent Neural Networks for Speaking and Singing Voice. 61-65
Feature, Embedding and Neural Architecture for Speaker Recognition
- Seong-Hu Kim, Yong-Hwa Park:
Adaptive Convolutional Neural Network for Text-Independent Speaker Recognition. 66-70 - Jiajun Qi, Wu Guo, Bin Gu:
Bidirectional Multiscale Feature Aggregation for Speaker Verification. 71-75 - Yu-Jia Zhang, Yih-Wen Wang, Chia-Ping Chen, Chung-Li Lu, Bo-Cheng Chan:
Improving Time Delay Neural Network Based Speaker Recognition with Convolutional Block and Feature Aggregation Methods. 76-80 - Yanfeng Wu, Junan Zhao, Chenkai Guo, Jing Xu:
Improving Deep CNN Architectures with Variable-Length Training Samples for Text-Independent Speaker Verification. 81-85 - Tinglong Zhu, Xiaoyi Qin, Ming Li:
Binary Neural Network for Speaker Verification. 86-90 - Youzhi Tu, Man-Wai Mak:
Mutual Information Enhanced Training for Speaker Embedding. 91-95 - Ge Zhu, Fei Jiang, Zhiyao Duan:
Y-Vector: Multiscale Waveform Encoder for Speaker Embedding. 96-100 - Yan Liu, Zheng Li, Lin Li, Qingyang Hong:
Phoneme-Aware and Channel-Wise Attentive Learning for Text Dependent Speaker Verification. 101-105 - Hongning Zhu, Kong Aik Lee, Haizhou Li:
Serialized Multi-Layer Multi-Head Attention for Neural Speaker Embedding. 106-110
Speech Synthesis: Toward End-to-End Synthesis II
- Cheng Gong, Longbiao Wang, Ju Zhang, Shaotong Guo, Yuguang Wang, Jianwu Dang:
TacoLPCNet: Fast and Stable TTS by Conditioning LPCNet on Mel Spectrogram Predictions. 111-115 - Taejun Bak, Jae-Sung Bae, Hanbin Bae, Young-Ik Kim, Hoon-Young Cho:
FastPitchFormant: Source-Filter Based Decomposed Modeling for Speech Synthesis. 116-120 - Taiki Nakamura, Tomoki Koriyama, Hiroshi Saruwatari:
Sequence-to-Sequence Learning for Deep Gaussian Process Based Speech Synthesis Using Self-Attention GP Layer. 121-125 - Naoto Kakegawa, Sunao Hara, Masanobu Abe, Yusuke Ijima:
Phonetic and Prosodic Information Estimation from Texts for Genuine Japanese End-to-End Text-to-Speech. 126-130 - Xudong Dai, Cheng Gong, Longbiao Wang, Kaili Zhang:
Information Sieve: Content Leakage Reduction in End-to-End Prosody Transfer for Expressive Speech Synthesis. 131-135 - Qingyun Dou, Xixin Wu, Moquan Wan, Yiting Lu, Mark J. F. Gales:
Deliberation-Based Multi-Pass Speech Synthesis. 136-140 - Isaac Elias, Heiga Zen, Jonathan Shen, Yu Zhang, Ye Jia, R. J. Skerry-Ryan, Yonghui Wu:
Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling. 141-145 - Chunyang Wu, Zhiping Xiu, Yangyang Shi, Ozlem Kalinli, Christian Fuegen, Thilo Köhler, Qing He:
Transformer-Based Acoustic Modeling for Streaming Speech Synthesis. 146-150 - Ye Jia, Heiga Zen, Jonathan Shen, Yu Zhang, Yonghui Wu:
PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS. 151-155 - Zhenhao Ge, Lakshmish Kaushik, Masanori Omote, Saket Kumar:
Speed up Training with Variable Length Inputs by Efficient Batching Strategies. 156-160
Speech Enhancement and Intelligibility
- Yuhang Sun, Linju Yang, Huifeng Zhu, Jie Hao:
Funnel Deep Complex U-Net for Phase-Aware Speech Enhancement. 161-165 - Qiquan Zhang, Qi Song, Aaron Nicolson, Tian Lan, Haizhou Li:
Temporal Convolutional Network with Frequency Dimension Adaptive Attention for Speech Enhancement. 166-170 - Changjie Pan, Feng Yang, Fei Chen:
Perceptual Contributions of Vowels and Consonant-Vowel Transitions in Understanding Time-Compressed Mandarin Sentences. 171-175 - Ritujoy Biswas, Karan Nathwani, Vinayak Abrol:
Transfer Learning for Speech Intelligibility Improvement in Noisy Environments. 176-180 - Ayako Yamamoto, Toshio Irino, Kenichi Arai, Shoko Araki, Atsunori Ogawa, Keisuke Kinoshita, Tomohiro Nakatani:
Comparison of Remote Experiments Using Crowdsourcing and Laboratory Experiments on Speech Intelligibility. 181-185 - Wenzhe Liu, Andong Li, Yuxuan Ke, Chengshi Zheng, Xiaodong Li:
Know Your Enemy, Know Yourself: A Unified Two-Stage Framework for Speech Enhancement. 186-190 - Qiuqiang Kong, Haohe Liu, Xingjian Du, Li Chen, Rui Xia, Yuxuan Wang:
Speech Enhancement with Weakly Labelled Data from AudioSet. 191-195 - Tsun-An Hsieh, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao:
Improving Perceptual Quality by Phone-Fortified Perceptual Loss Using Wasserstein Distance for Speech Enhancement. 196-200 - Szu-Wei Fu, Cheng Yu, Tsun-An Hsieh, Peter Plantinga, Mirco Ravanelli, Xugang Lu, Yu Tsao:
MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement. 201-205 - Amin Edraki, Wai-Yip Chan, Jesper Jensen, Daniel Fogerty:
A Spectro-Temporal Glimpsing Index (STGI) for Speech Intelligibility Prediction. 206-210 - Yuanhang Qiu, Ruili Wang, Satwinder Singh, Zhizhong Ma, Feng Hou:
Self-Supervised Learning Based Phone-Fortified Speech Enhancement. 211-215 - Khandokar Md. Nayem, Donald S. Williamson:
Incorporating Embedding Vectors from a Human Mean-Opinion Score Prediction Model for Monaural Speech Enhancement. 216-220 - Jianwei Zhang, Suren Jayasuriya, Visar Berisha:
Restoring Degraded Speech via a Modified Diffusion Model. 221-225
Spoken Dialogue Systems I
- Hoang Long Nguyen, Vincent Renkens, Joris Pelemans, Srividya Pranavi Potharaju, Anil Kumar Nalamalapu, Murat Akbacak:
User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue Systems. 226-230 - Nuo Chen, Chenyu You, Yuexian Zou:
Self-Supervised Dialogue Learning for Spoken Conversational Question Answering. 231-235 - Ruolin Su, Ting-Wei Wu, Biing-Hwang Juang:
Act-Aware Slot-Value Predicting in Multi-Domain Dialogue State Tracking. 236-240 - Yuya Chiba, Ryuichiro Higashinaka:
Dialogue Situation Recognition for Everyday Conversation Using Multimodal Information. 241-245 - Yoshihiro Yamazaki, Yuya Chiba, Takashi Nose, Akinori Ito:
Neural Spoken-Response Generation Using Prosodic and Linguistic Context for Conversational Systems. 246-250 - Weiyuan Xu, Peilin Zhou, Chenyu You, Yuexian Zou:
Semantic Transportation Prototypical Network for Few-Shot Intent Detection. 251-255 - Li Tang, Yuke Si, Longbiao Wang, Jianwu Dang:
Domain-Specific Multi-Agent Dialog Policy Learning in Multi-Domain Task-Oriented Scenarios. 256-260 - Haoyu Wang, John Chen, Majid Laali, Kevin Durda, Jeff King, William Campbell, Yang Liu:
Leveraging ASR N-Best in Deep Entity Retrieval. 261-265
Topics in ASR: Robustness, Feature Extraction, and Far-Field ASR
- Shuai Zhang, Jiangyan Yi, Zhengkun Tian, Ye Bai, Jianhua Tao, Xuefei Liu, Zhengqi Wen:
End-to-End Spelling Correction Conditioned on Acoustic Feature for Code-Switching Speech Recognition. 266-270 - Kathleen Siminyu, Xinjian Li, Antonios Anastasopoulos, David R. Mortensen, Michael R. Marlo, Graham Neubig:
Phoneme Recognition Through Fine Tuning of Phonetic Representations: A Case Study on Luhya Language Varieties. 271-275 - Erfan Loweimi, Zoran Cvetkovic, Peter Bell, Steve Renals:
Speech Acoustic Modelling Using Raw Source and Filter Components. 276-280 - Masakiyo Fujimoto, Hisashi Kawai:
Noise Robust Acoustic Modeling for Single-Channel Speech Recognition Based on a Stream-Wise Transformer Architecture. 281-285 - Anton Ratnarajah, Zhenyu Tang, Dinesh Manocha:
IR-GAN: Room Impulse Response Generator for Far-Field Speech Recognition. 286-290 - Junqi Chen, Xiao-Lei Zhang:
Scaling Sparsemax Based Channel Selection for Speech Recognition with ad-hoc Microphone Arrays. 291-295 - Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo:
Multi-Channel Transformer Transducer for Speech Recognition. 296-300 - Emiru Tsunoo, Kentaro Shibata, Chaitanya Narisetty, Yosuke Kashiwagi, Shinji Watanabe:
Data Augmentation Methods for End-to-End Speech Recognition on Distant-Talk Scenarios. 301-305 - Guodong Ma, Pengfei Hu, Jian Kang, Shen Huang, Hao Huang:
Leveraging Phone Mask Training for Phonetic-Reduction-Robust E2E Uyghur Speech Recognition. 306-310 - Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Paden Tomasello, Jacob Kahn, Gilad Avidov, Ronan Collobert, Gabriel Synnaeve:
Rethinking Evaluation in ASR: Are Our Models Robust Enough? 311-315 - Max W. Y. Lam, Jun Wang, Chao Weng, Dan Su, Dong Yu:
Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition. 316-320
Voice Activity Detection and Keyword Spotting
- Yuanbo Hou, Zhesong Yu, Xia Liang, Xingjian Du, Bilei Zhu, Zejun Ma, Dick Botteldooren:
Attention-Based Cross-Modal Fusion for Audio-Visual Voice Activity Detection in Musical Video Streams. 321-325 - Ui-Hyun Kim:
Noise-Tolerant Self-Supervised Learning for Audio-Visual Voice Activity Detection. 326-330 - Hyun-Jin Park, Pai Zhu, Ignacio Lopez-Moreno, Niranjan Subrahmanya:
Noisy Student-Teacher Training for Robust Keyword Spotting. 331-335 - Osamu Ichikawa, Kaito Nakano, Takahiro Nakayama, Hajime Shirouzu:
Multi-Channel VAD for Transcription of Group Discussion. 336-340 - Hengshun Zhou, Jun Du, Hang Chen, Zijun Jing, Shifu Xiong, Chin-Hui Lee:
Audio-Visual Information Fusion Using Cross-Modal Teacher-Student Learning for Voice Activity Detection in Realistic Environments. 341-345 - Naoki Makishima, Mana Ihori, Tomohiro Tanaka, Akihiko Takashima, Shota Orihashi, Ryo Masumura:
Enrollment-Less Training for Personalized Voice Activity Detection. 346-350 - Yuto Nonaka, Chee Siang Leow, Akio Kobayashi, Takehito Utsuro, Hiromitsu Nishizaki:
Voice Activity Detection for Live Speech of Baseball Game Based on Tandem Connection with Speech/Noise Separation Model. 351-355 - Young D. Kwon, Jagmohan Chauhan, Cecilia Mascolo:
FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications. 356-360 - Bo Wei, Meirong Yang, Tao Zhang, Xiao Tang, Xing Huang, Kyuhong Kim, Jaeyun Lee, Kiho Cho, Sung-Un Park:
End-to-End Transformer-Based Open-Vocabulary Keyword Spotting with Location-Guided Local Attention. 361-365 - Saurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation. 366-370 - Xuenan Xu, Heinrich Dinkel, Mengyue Wu, Kai Yu:
A Lightweight Framework for Online Voice Activity Detection in the Wild. 371-375
Voice and Voicing
- Aurélie Chlébowski, Nicolas Ballier:
"See what I mean, huh?" Evaluating Visual Inspection of F0 Tracking in Nasal Grunts. 376-380 - Bruce Xiao Wang, Vincent Hughes:
System Performance as a Function of Calibration Methods, Sample Size and Sampling Variability in Likelihood Ratio-Based Forensic Voice Comparison. 381-385 - Anne Bonneau:
Voicing Assimilations by French Speakers of German in Stop-Fricative Sequences. 386-390 - Titas Chakraborty, Vaishali Patil, Preeti Rao:
The Four-Way Classification of Stops with Voicing and Aspiration for Non-Native Speech Evaluation. 391-395 - Saba Urooj, Benazir Mumtaz, Sarmad Hussain, Ehsan ul Haq:
Acoustic and Prosodic Correlates of Emotions in Urdu Speech. 396-400 - Nour Tamim, Silke Hamann:
Voicing Contrasts in the Singleton Stops of Palestinian Arabic: Production and Perception. 401-405 - Thomas Coy, Vincent Hughes, Philip Harrison, Amelia Jane Gully:
A Comparison of the Accuracy of Dissen and Keshet's (2016) DeepFormants and Traditional LPC Methods for Semi-Automatic Speaker Recognition. 406-410 - Michael Jessen:
MAP Adaptation Characteristics in Forensic Long-Term Formant Analysis. 411-415 - Justin J. H. Lo:
Cross-Linguistic Speaker Individuality of Long-Term Formant Distributions: Phonetic and Forensic Perspectives. 416-420 - Rachel Soo, Khia A. Johnson, Molly Babel:
Sound Change in Spontaneous Bilingual Speech: A Corpus Study on the Cantonese n-l Merger in Cantonese-English Bilinguals. 421-425 - Wendy Lalhminghlui, Priyankoo Sarmah:
Characterizing Voiced and Voiceless Nasals in Mizo. 426-430
The INTERSPEECH 2021 Computational Paralinguistics Challenge (ComParE) - COVID-19 Cough, COVID-19 Speech, Escalation & Primates
- Björn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Maurice Gerczuk, Panagiotis Tzirakis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Léon J. M. Rothkrantz, Joeri A. Zwerts, Jelle Treep, Casper S. Kaandorp:
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. 431-435 - Rubén Solera-Ureña, Catarina Botelho, Francisco Teixeira, Thomas Rolland, Alberto Abad, Isabel Trancoso:
Transfer Learning-Based Cough Representations for Automatic Detection of COVID-19. 436-440 - Philipp Klumpp, Tobias Bocklet, Tomas Arias-Vergara, Juan Camilo Vásquez-Correa, Paula Andrea Pérez-Toro, Sebastian P. Bayerl, Juan Rafael Orozco-Arroyave, Elmar Nöth:
The Phonetic Footprint of Covid-19? 441-445 - Edresson Casanova, Arnaldo Candido Jr., Ricardo Corso Fernandes Junior, Marcelo Finger, Lucas Rafael Stefanel Gris, Moacir Antonelli Ponti, Daniel Peixoto Pinto da Silva:
Transfer Learning and Data Augmentation Techniques to the COVID-19 Identification Tasks in ComParE 2021. 446-450 - Steffen Illium, Robert Müller, Andreas Sedlmeier, Claudia Linnhoff-Popien:
Visual Transformers for Primates Classification and Covid Detection. 451-455 - Thomas Pellegrini:
Deep-Learning-Based Central African Primate Species Classification with MixUp and SpecAugment. 456-460 - Robert Müller, Steffen Illium, Claudia Linnhoff-Popien:
A Deep and Recurrent Architecture for Primate Vocalization Classification. 461-465 - Joeri A. Zwerts, Jelle Treep, Casper S. Kaandorp, Floor Meewis, Amparo C. Koot, Heysem Kaya:
Introducing a Central African Primate Vocalisation Dataset for Automated Species Classification. 466-470 - Georgios Rizos, Jenna Lawson, Zhuoda Han, Duncan Butler, James Rosindell, Krystian Mikolajczyk, Cristina Banks-Leite, Björn W. Schuller:
Multi-Attentive Detection of the Spider Monkey Whinny in the (Actual) Wild. 471-475 - José Vicente Egas López, Mercedes Vetráb, László Tóth, Gábor Gosztolya:
Identifying Conflict Escalation and Primates by Using Ensemble X-Vectors and Fisher Vector Features. 476-480 - Oxana Verkholyak, Denis Dresvyanskiy, Anastasia Dvoynikova, Denis Kotov, Elena Ryumina, Alena Velichko, Danila Mamontov, Wolfgang Minker, Alexey Karpov:
Ensemble-Within-Ensemble Classification for Escalation Prediction from Speech. 481-485 - Dominik Schiller, Silvan Mertes, Pol van Rijn, Elisabeth André:
Analysis by Synthesis: Using an Expressive TTS Model as Feature Extractor for Paralinguistic Speech Classification. 486-490
Survey Talk 1: Heidi Christensen
- Heidi Christensen:
Towards Automatic Speech Recognition for People with Atypical Speech.
Embedding and Network Architecture for Speaker Recognition
- Chau Luu, Peter Bell, Steve Renals:
Leveraging Speaker Attribute Information Using Multi Task Learning for Speaker Verification and Diarization. 491-495 - Magdalena Rybicka, Jesús Villalba, Piotr Zelasko, Najim Dehak, Konrad Kowalczyk:
Spine2Net: SpineNet with Res2Net and Time-Squeeze-and-Excitation Blocks for Speaker Recognition. 496-500 - Themos Stafylakis, Johan Rohdin, Lukás Burget:
Speaker Embeddings by Modeling Channel-Wise Correlations. 501-505 - Weipeng He, Petr Motlícek, Jean-Marc Odobez:
Multi-Task Neural Network for Robust Multiple Speaker Embedding Extraction. 506-510 - Junyi Peng, Xiaoyang Qu, Jianzong Wang, Rongzhi Gu, Jing Xiao, Lukás Burget, Jan Cernocký:
ICSpk: Interpretable Complex Speaker Embedding Extractor from Raw Waveform. 511-515
Speech Perception I
- Xiao Xiao, Nicolas Audibert, Grégoire Locqueville, Christophe d'Alessandro, Barbara Kuhnert, Claire Pillot-Loiseau:
Prosodic Disambiguation Using Chironomic Stylization of Intonation with Native and Non-Native Speakers. 516-520 - Aleese Block, Michelle Cohn, Georgia Zellou:
Variation in Perceptual Sensitivity and Compensation for Coarticulation Across Adult and Child Naturally-Produced and TTS Voices. 521-525 - Mohammad Jalilpour-Monesi, Bernd Accou, Tom Francart, Hugo Van hamme:
Extracting Different Levels of Speech Information from EEG Using an LSTM-Based Model. 526-530 - Louis ten Bosch, Lou Boves:
Word Competition: An Entropy-Based Approach in the DIANA Model of Human Word Comprehension. 531-535 - Louis ten Bosch, Lou Boves:
Time-to-Event Models for Analyzing Reaction Time Sequences. 536-540 - Sophie Brand, Kimberley Mulder, Louis ten Bosch, Lou Boves:
Models of Reaction Times in Auditory Lexical Decision: RTonset versus RToffset. 541-545
Acoustic Event Detection and Acoustic Scene Classification
- Gwantae Kim, David K. Han, Hanseok Ko:
SpecMix : A Mixed Sample Data Augmentation Method for Training with Time-Frequency Domain Features. 546-550 - Helin Wang, Yuexian Zou, Wenwu Wang:
SpecAugment++: A Hidden Space Data Augmentation Method for Acoustic Scene Classification. 551-555 - Xu Zheng, Yan Song, Li-Rong Dai, Ian McLoughlin, Lin Liu:
An Effective Mutual Mean Teaching Based Domain Adaptation Method for Sound Event Detection. 556-560 - Ritika Nandi, Shashank Shekhar, Manjunath Mulimani:
Acoustic Scene Classification Using Kervolution-Based SubSpectralNet. 561-565 - Harshavardhan Sundar, Ming Sun, Chao Wang:
Event Specific Attention for Polyphonic Sound Event Detection. 566-570 - Yuan Gong, Yu-An Chung, James R. Glass:
AST: Audio Spectrogram Transformer. 571-575 - Soonshin Seo, Donghyun Lee, Ji-Hwan Kim:
Shallow Convolution-Augmented Transformer with Differentiable Neural Computer for Low-Complexity Classification of Variable-Length Acoustic Scene. 576-580 - Helen L. Bear, Veronica Morfi, Emmanouil Benetos:
An Evaluation of Data Augmentation Methods for Sound Scene Geotagging. 581-585