Interspeech 2022: all accepted papers
- XLS-R: Self-supervised Cross-lingual Speech Representation Learning at ScaleArun Babu, Changhan Wang, Andros Tjandra et al.553 citations · our summary
- UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022 ↗Takaaki Saeki, Detai Xin, Wataru Nakata et al.244 citations
- Does Audio Deepfake Detection Generalize? ↗Nicolas Müller, Pavel Czempin, Franziska Diekmann et al.243 citations
- Efficient Training of Audio Transformers with Patchout ↗Khaled Koutini, Jan Schlüter, Hamid Eghbal-zadeh et al.225 citations
- MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verification ↗Yang Zhang, Zhiqiang Lv, Haibin Wu et al.132 citations
- CMGAN: Conformer-based Metric GAN for Speech Enhancement ↗Ruizhe Cao, Sherif Abdulatif, Bin Yang118 citations
- Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition ↗Zhifu Gao, Shiliang Zhang, Ian Vince McLoughlin et al.116 citations
- Robust Self-Supervised Audio-Visual Speech Recognition ↗Bowen Shi, Wei-Ning Hsu, Abdelrahman Mohamed102 citations
- WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit ↗Binbin Zhang, Di Wu, Zhendong Peng et al.101 citations
- Pushing the limits of raw waveform speaker recognition ↗Jee-weon Jung, Youjin Kim, Hee-Soo Heo et al.95 citations
- Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain ↗Simon Welker, Julius Richter, Timo Gerkmann94 citations
- MAE-AST: Masked Autoencoding Audio Spectrogram Transformer ↗Alan Baade, Puyuan Peng, David F. Harwath87 citations
- Frequency Dynamic Convolution: Frequency-Adaptive Pattern Recognition for Sound Event Detection ↗Hyeonuk Nam, Seong-Hu Kim, Byeong-Yun Ko et al.84 citations
- The VoiceMOS Challenge 2022 ↗Wen-Chin Huang, Erica Cooper, Yu Tsao et al.81 citations
- MAESTRO: Matched Speech Text Representations through Modality Matching ↗Zhehuai Chen, Yu Zhang, Andrew Rosenberg et al.74 citations
- Opencpop: A High-Quality Open Source Chinese Popular Song Corpus for Singing Voice Synthesis ↗Yu Wang, Xinsheng Wang, Pengcheng Zhu et al.72 citations
- How bad are artifacts?: Analyzing the impact of speech enhancement errors on ASR ↗Kazuma Iwamoto, Tsubasa Ochiai, Marc Delcroix et al.69 citations
- SpeechFormer: A Hierarchical Efficient Framework Incorporating the Characteristics of Speech ↗Weidong Chen, Xiaofen Xing, Xiangmin Xu et al.68 citations
- Separate What You Describe: Language-Queried Audio Source Separation ↗Xubo Liu, Haohe Liu, Qiuqiang Kong et al.66 citations
- Simple and Effective Zero-shot Cross-lingual Phoneme Recognition ↗Qiantong Xu, Alexei Baevski, Michael Auli64 citations
- BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese ↗Nguyen Luong Tran, Duong Le, Dat Quoc Nguyen61 citations
- Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition ↗Abner Hernandez, Paula Andrea Pérez-Toro, Elmar Nöth et al.56 citations
- Streaming Multi-Talker ASR with Token-Level Serialized Output Training ↗Naoyuki Kanda, Jian Wu, Yu Wu et al.56 citations
- SASV 2022: The First Spoofing-Aware Speaker Verification Challenge ↗Jee-weon Jung, Hemlata Tak, Hye-jin Shim et al.55 citations
- VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration ↗Haohe Liu, Xubo Liu, Qiuqiang Kong et al.53 citations
- End-to-End Integration of Speech Recognition, Speech Enhancement, and Self-Supervised Learning Representation ↗Xuankai Chang, Takashi Maekaku, Yuya Fujita et al.52 citations
- NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates ↗Seungu Han, Junhyeok Lee52 citations
- Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0 ↗Sebastian Peter Bayerl, Dominik Wagner, Elmar Noeth et al.50 citations
- Neural Vocoder is All You Need for Speech Super-resolution ↗Haohe Liu, Woosung Choi, Xubo Liu et al.49 citations
- ConferencingSpeech 2022 Challenge: Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge for Online Conferencing Applications ↗Gaoxiong Yi, Wei Xiao, Yiming Xiao et al.47 citations
- Pruned RNN-T for fast, memory-efficient ASR training ↗Fangjun Kuang, Liyong Guo, Wei Kang et al.47 citations
- Automatic Pronunciation Assessment using Self-Supervised Speech Representation Learning ↗Eesung Kim, Jae-Jin Jeon, Hyeji Seo et al.43 citations
- Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation ↗Sravya Popuri, Peng‐Jen Chen, Changhan Wang et al.43 citations
- JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech ↗Dan Lim, Sung‐Hee Jung, Eesung Kim43 citations
- Voice Activity Projection: Self-supervised Learning of Turn-taking Events ↗Erik Ekstedt, Gabriel Skantze43 citations
- AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios ↗Yi-Han Wu, Xu Tan, Bohan Li et al.42 citations
- On Metric Learning for Audio-Text Cross-Modal Retrieval ↗Xinhao Mei, Xubo Liu, Jianyuan Sun et al.42 citations
- Boosting Self-Supervised Embeddings for Speech Enhancement ↗Kuo-Hsuan Hung, Szu‐Wei Fu, Huan-Hsin Tseng et al.41 citations
- TRILLsson: Distilled Universal Paralinguistic Speech Representations ↗Joel Shor, Subhashini Venugopalan41 citations
- VQTTS: High-Fidelity Text-to-Speech Synthesis with Self-Supervised VQ Acoustic Feature ↗Chenpeng Du, Yiwei Guo, Xie Chen et al.41 citations
- INTERSPEECH 2022 Audio Deep Packet Loss Concealment Challenge ↗Lorenz Diener, Sten Sootla, Solomiya Branets et al.40 citations
- LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT ↗Rui Wang, Qibing Bai, Junyi Ao et al.40 citations
- SepTr: Separable Transformer for Audio Spectrogram Processing ↗Nicolaea Catalin Ristea, Radu Tudor Ionescu, Fahad Shahbaz Khan40 citations
- Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset ↗Zehui Yang, Yifan Chen, Lei Luo et al.39 citations
- From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization ↗Federico Landini, Alicia Lozano-Díez, Mireia Díez et al.38 citations
- KSC2: An Industrial-Scale Open-Source Kazakh Speech Corpus ↗Saida Mussakhojayeva, Yerbolat Khassanov, Hüseyin Atakan Varol37 citations
- Mitigating bias against non-native accents ↗Yuanyuan Zhang, Yixuan Zhang, Bence Mark Halpern et al.37 citations
- Investigating Self-supervised Pretraining Frameworks for Pathological Speech Recognition ↗Lester Phillip Violeta, Wen Chin Huang, Tomoki Toda36 citations
- SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping ↗Yuma Koizumi, Heiga Zen, Kohei Yatabe et al.36 citations
- User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition on Federated Learning ↗Tiantian Feng, Raghuveer Peri, Shrikanth Shri Narayanan36 citations
- Multi-level Fusion of Wav2vec 2.0 and BERT for Multimodal Emotion Recognition ↗Zihan Zhao, Yanfeng Wang, Yu Wang35 citations
- Speaker adaptation for Wav2vec2 based dysarthric ASR ↗Murali Karthick Baskar, Tim Herzig, Diana Nguyen et al.35 citations
- Transformer-Based Video Front-Ends for Audio-Visual Speech Recognition for Single and Muti-Person Video ↗Dmitriy Serdyuk, Otavio Braga, Olivier Siohan35 citations
- Word Discovery in Visually Grounded, Self-Supervised Speech Models ↗Puyuan Peng, David F. Harwath35 citations
- An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks ↗Kai-Wei Chang, Wei-Cheng Tseng, Shang-Wen Li et al.33 citations
- Disentanglement of Emotional Style and Speaker Identity for Expressive Voice Conversion ↗Zongyang Du, Berrak Şişman, Kun Zhou et al.33 citations
- Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition ↗Shaojin Ding, Rajeev Vijay Rikhye, Qiao Liang et al.33 citations
- Learning Audio-Text Agreement for Open-vocabulary Keyword Spotting ↗Hyeon-Kyeong Shin, Hye-Won Han, Doyeon Kim et al.32 citations
- SHAS: Approaching optimal Segmentation for End-to-End Speech Translation ↗Ioannis Tsiamas, Gerard I. Gállego, José A. R. Fonollosa et al.32 citations
- Self-Supervised Speaker Verification Using Dynamic Loss-Gate and Label Correction ↗Bing Han, Zhengyang Chen, Yanmin Qian32 citations
- Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition? ↗Sanyuan Chen, Yu Wu, Chengyi Wang et al.32 citations
- Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake Detection ↗Piotr Kawa, Marcin Plata, Piotr Syga31 citations
- Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement Network (E3Net) and Knowledge Distillation ↗Manthan Thakker, Şefik Emre Eskimez, Takuya Yoshioka et al.31 citations
- EdiTTS: Score-based Editing for Controllable Text-to-Speech ↗Jaesung Tae, Hyeongju Kim, Taesu Kim30 citations
- Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice Conversion ↗SiCheng Yang, Methawee Tantrawenith, Haolin Zhuang et al.30 citations
- FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised Models ↗Yeonghyeon Lee, Kangwook Jang, Jahyun Goo et al.29 citations
- ByT5 model for massively multilingual grapheme-to-phoneme conversion ↗Jian Ying Zhu, Cong Zhang, David Jurgens28 citations
- Fusion of Self-supervised Learned Models for MOS Prediction ↗Zhengdong Yang, Wangjin Zhou, Chenhui Chu et al.28 citations
- Multi-scale Speaker Diarization with Dynamic Scale Weighting ↗Tae‐Jin Park, Nithin Rao Koluguri, Jagadeesh Balam et al.28 citations
- ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding ↗Yen‐Ju Lu, Xuankai Chang, Chenda Li et al.27 citations
- Perceptual Contrast Stretching on Target Feature for Speech Enhancement ↗Rong Chao, Cheng Yu, Szu‐Wei Fu et al.27 citations
- Probing speech emotion recognition transformers for linguistic knowledge ↗Andreas Triantafyllopoulos, Johannes Wagner, Hagen Wierstorf et al.27 citations
- SOMOS: The Samsung Open MOS Dataset for the Evaluation of Neural Text-to-Speech Synthesis ↗Georgia Maniati, Alexandra Vioni, Nikolaos Ellinas et al.27 citations
- SepIt: Approaching a Single Channel Speech Separation Bound ↗Shahar Lutati, Eliya Nachmani, Lior Wolf27 citations
- Transfer Learning Framework for Low-Resource Text-to-Speech using a Large-Scale Unlabeled Speech Corpus ↗Minchan Kim, Myeonghun Jeong, Byoung Jin Choi et al.27 citations
- ATST: Audio Representation Learning with Teacher-Student Transformer ↗Xian LI, Xiaofei Li26 citations
- Text-Driven Separation of Arbitrary Sounds ↗Kevin Kilgour, Beat Gfeller, Qingqing Huang et al.26 citations
- Visual Context-driven Audio Feature Enhancement for Robust End-to-End Audio-Visual Speech Recognition ↗Joanna H. Hong, Minsu Kim, Daehun Yoo et al.26 citations
- wav2vec2-based Speech Rating System for Children with Speech Sound Disorder ↗Yaroslav Getman, Ragheb Al-Ghezi, Katja Voskoboinik et al.26 citations
- 4-bit Conformer with Native Quantization Aware Training for Speech Recognition ↗Shaojin Ding, Phoenix Meadowlark, Yanzhang He et al.25 citations
- Are reported accuracies in the clinical speech machine learning literature overoptimistic? ↗Visar Berisha, Chelsea Krantsevich, Gabriela Stegmann et al.25 citations
- DRAFT: A Novel Framework to Reduce Domain Shifting in Self-supervised Learning and Its Application to Children’s ASR ↗Ruchao Fan, Abeer A. Alwan25 citations
- Language-specific Characteristic Assistance for Code-switching Speech Recognition ↗Tongtong Song, Qiang Xu, Meng Ge et al.25 citations
- QDPN - Quasi-dual-path Network for single-channel Speech Separation ↗Joel Rixen, Matthias Renz25 citations
- Speech Quality Assessment through MOS using Non-Matching References ↗Pranay Manocha, Anurag Kumar25 citations
- The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction ↗Jon Barker, Michael A. Akeroyd, Trevor J. Cox et al.25 citations
- Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition ↗Junrui Ni, Liming Wang, Heting Gao et al.25 citations
- VocaLiST: An Audio-Visual Synchronisation Model for Lips and Voices ↗Venkatesh Shenoy Kadandale, Juan Felipe Montesinos, Gloria Haro25 citations
- Alzheimer's Detection from English to Spanish Using Acoustic and Linguistic Embeddings ↗Paula Andrea Pérez-Toro, Philipp Klumpp, Abner Hernandez et al.24 citations
- Distance-Based Sound Separation ↗Katharine Patterson, Kirk Wilson, Scott Wisdom et al.24 citations
- Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification ↗Byeonggeun Kim, Seung-Han Yang, Jangho Kim et al.24 citations
- Evaluating the Performance of State-of-the-Art ASR Systems on Non-Native English using Corpora with Extensive Language Background Variation ↗Samuel Hollands, Daniel J. Blackburn, Heidi Christensen24 citations
- Pseudo Label Is Better Than Human Label ↗Dongseong Hwang, Khe Chai Sim, Zhouyuan Huo et al.24 citations
- Speaker Anonymization with Phonetic Intermediate Representations ↗Sarina Meyer, Florian Lux, Pavel Denisov et al.24 citations
- Training and typological bias in ASR performance for world Englishes ↗May Pik Yu Chan, June Choe, Aini Li et al.24 citations
- A Step Towards Preserving Speakers’ Identity While Detecting Depression Via Speaker Disentanglement ↗Vijay Ravi, Jinhan Wang, Jonathan Flint et al.23 citations
- Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck ↗Youngsik Eom, Yeonghyeon Lee, Ji Sub Um et al.23 citations
- Audio-Visual Speech Recognition in MISP2021 Challenge: Dataset Release and Deep Analysis ↗Hang Chen, Jun Du, Yusheng Dai et al.23 citations
- Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis ↗Yi Chang, Zhao Ren, Quoc Viet Hung Nguyen et al.23 citations
- Extended U-Net for Speaker Verification in Noisy Environments ↗Ju-ho Kim, Jungwoo Heo, Hye-jin Shim et al.23 citations
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