{"total":129,"rows":[{"id":"2106.06909","title":"GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio","created":"2021-06-13","cited_by_count":399,"area":null},{"id":"2110.03370","title":"WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition","created":"2021-10-07","cited_by_count":197,"area":null},{"id":"2111.01690","title":"Recent Advances in End-to-End Automatic Speech Recognition","created":"2021-11-02","cited_by_count":140,"area":null},{"id":"2303.03329","title":"End-to-End Speech Recognition: A Survey","created":"2023-03-03","cited_by_count":129,"area":null},{"id":"2210.00077","title":"E-Branchformer: Branchformer with Enhanced merging for speech recognition","created":"2022-09-30","cited_by_count":92,"area":null},{"id":"2207.02971","title":"Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding","created":"2022-07-06","cited_by_count":91,"area":null},{"id":"2401.16658","title":"OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer","created":"2024-01-30","cited_by_count":74,"area":null},{"id":"2107.08661","title":"Translatotron 2: High-quality direct speech-to-speech translation with voice preservation","created":"2021-07-19","cited_by_count":71,"area":null},{"id":"2206.00888","title":"Squeezeformer: An Efficient Transformer for Automatic Speech Recognition","created":"2022-06-02","cited_by_count":51,"area":null},{"id":"2109.01163","title":"Efficient conformer: Progressive downsampling and grouped attention for automatic speech recognition","created":"2021-08-31","cited_by_count":42,"area":null},{"id":"2309.15800","title":"Exploring Speech Recognition, Translation, and Understanding with Discrete Speech Units: A Comparative Study","created":"2023-09-27","cited_by_count":42,"area":null},{"id":"2203.09690","title":"A$^3$T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing","created":"2022-03-18","cited_by_count":40,"area":null},{"id":"2110.04590","title":"An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognition","created":"2021-10-09","cited_by_count":39,"area":null},{"id":"2205.12523","title":"TranSpeech: Speech-to-Speech Translation With Bilateral Perturbation","created":"2022-05-25","cited_by_count":34,"area":null},{"id":"2203.02395","title":"iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform","created":"2022-03-04","cited_by_count":32,"area":null},{"id":"2212.07850","title":"Attention as a Guide for Simultaneous Speech Translation","created":"2022-12-15","cited_by_count":32,"area":null},{"id":"2302.12829","title":"Improving Massively Multilingual ASR With Auxiliary CTC Objectives","created":"2023-02-24","cited_by_count":31,"area":null},{"id":"2110.05249","title":"A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation","created":"2021-10-11","cited_by_count":28,"area":null},{"id":"2406.08641","title":"ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets","created":"2024-06-12","cited_by_count":27,"area":null},{"id":"2104.09426","title":"Advanced Long-context End-to-end Speech Recognition Using Context-expanded Transformers","created":"2021-04-19","cited_by_count":25,"area":null},{"id":"2210.05200","title":"CTC Alignments Improve Autoregressive Translation","created":"2022-10-11","cited_by_count":25,"area":null},{"id":"2306.14422","title":"The Singing Voice Conversion Challenge 2023","created":"2023-06-26","cited_by_count":25,"area":null},{"id":"2105.00573","title":"Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks","created":"2021-05-02","cited_by_count":24,"area":null},{"id":"2110.07840","title":"ESPnet2-TTS: Extending the Edge of TTS Research","created":"2021-10-15","cited_by_count":22,"area":null},{"id":"2301.01456","title":"Audio-Visual Efficient Conformer for Robust Speech Recognition","created":"2023-01-04","cited_by_count":22,"area":null},{"id":"2406.06097","title":"StreamAtt: Direct Streaming Speech-to-Text Translation with Attention-based Audio History Selection","created":"2024-06-10","cited_by_count":19,"area":null},{"id":"2111.15016","title":"Joint Modeling of Code-Switched and Monolingual ASR via Conditional Factorization","created":"2021-11-29","cited_by_count":18,"area":null},{"id":"2211.01458","title":"Towards Zero-Shot Code-Switched Speech Recognition","created":"2022-11-02","cited_by_count":15,"area":null},{"id":"2107.01269","title":"Dual Causal/Non-Causal Self-Attention for Streaming End-to-End Speech Recognition","created":"2021-07-02","cited_by_count":14,"area":null},{"id":"2303.16166","title":"When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLP","created":"2023-03-28","cited_by_count":14,"area":null},{"id":"2305.11073","title":"A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks","created":"2023-05-18","cited_by_count":14,"area":null},{"id":"2312.02512","title":"AV2AV: Direct Audio-Visual Speech to Audio-Visual Speech Translation with Unified Audio-Visual Speech Representation","created":"2023-12-05","cited_by_count":14,"area":null},{"id":"2106.09216","title":"Layer Pruning on Demand with Intermediate CTC","created":"2021-06-17","cited_by_count":13,"area":null},{"id":"2309.08535","title":"Visual Speech Recognition for Languages with Limited Labeled Data using Automatic Labels from Whisper","created":"2023-09-15","cited_by_count":13,"area":null},{"id":"2206.13232","title":"Conformer Based Elderly Speech Recognition System for Alzheimer's Disease Detection","created":"2022-06-23","cited_by_count":12,"area":null},{"id":"2107.09428","title":"Streaming End-to-End ASR based on Blockwise Non-Autoregressive Models","created":"2021-07-20","cited_by_count":11,"area":null},{"id":"2204.02470","title":"Combining Spectral and Self-Supervised Features for Low Resource Speech Recognition and Translation","created":"2022-04-05","cited_by_count":11,"area":null},{"id":"2210.16663","title":"BERT Meets CTC: New Formulation of End-to-End Speech Recognition with Pre-trained Masked Language Model","created":"2022-10-29","cited_by_count":11,"area":null},{"id":"2307.07421","title":"SummaryMixing: A Linear-Complexity Alternative to Self-Attention for Speech Recognition and Understanding","created":"2023-07-12","cited_by_count":11,"area":null},{"id":"2206.09783","title":"Boosting Cross-Domain Speech Recognition with Self-Supervision","created":"2022-06-20","cited_by_count":10,"area":null},{"id":"2304.04596","title":"ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit","created":"2023-04-10","cited_by_count":10,"area":null},{"id":"2309.15674","title":"Speech collage: code-switched audio generation by collaging monolingual corpora","created":"2023-09-27","cited_by_count":10,"area":null},{"id":"2103.14152","title":"Residual Energy-Based Models for End-to-End Speech Recognition","created":"2021-03-25","cited_by_count":9,"area":null},{"id":"2109.04411","title":"Non-autoregressive End-to-end Speech Translation with Parallel Autoregressive Rescoring","created":"2021-09-09","cited_by_count":9,"area":null},{"id":"2109.12804","title":"Fast-MD: Fast Multi-Decoder End-to-End Speech Translation with Non-Autoregressive Hidden Intermediates","created":"2021-09-27","cited_by_count":9,"area":null},{"id":"2202.07855","title":"Conversational Speech Recognition By Learning Conversation-level Characteristics","created":"2022-02-16","cited_by_count":8,"area":null},{"id":"2204.10020","title":"Cross-Speaker Emotion Transfer for Low-Resource Text-to-Speech Using Non-Parallel Voice Conversion with Pitch-Shift Data Augmentation","created":"2022-04-21","cited_by_count":8,"area":null},{"id":"2207.06670","title":"Two-Pass Low Latency End-to-End Spoken Language Understanding","created":"2022-07-14","cited_by_count":8,"area":null},{"id":"2211.02333","title":"Minimum Latency Training of Sequence Transducers for Streaming End-to-End Speech Recognition","created":"2022-11-04","cited_by_count":8,"area":null},{"id":"2403.13169","title":"Wav2Gloss: Generating Interlinear Glossed Text from Speech","created":"2024-03-19","cited_by_count":8,"area":null},{"id":"2110.00046","title":"SpliceOut: A Simple and Efficient Audio Augmentation Method","created":"2021-09-30","cited_by_count":7,"area":null},{"id":"2207.01039","title":"Leveraging Acoustic Contextual Representation by Audio-textual Cross-modal Learning for Conversational ASR","created":"2022-07-03","cited_by_count":7,"area":null},{"id":"2212.10818","title":"4D ASR: Joint modeling of CTC, Attention, Transducer, and Mask-Predict decoders","created":"2022-12-21","cited_by_count":7,"area":null},{"id":"2106.05111","title":"A Comparative Study on Neural Architectures and Training Methods for Japanese Speech Recognition","created":"2021-06-09","cited_by_count":6,"area":null},{"id":"2110.05571","title":"SRU++: Pioneering Fast Recurrence with Attention for Speech Recognition","created":"2021-10-11","cited_by_count":6,"area":null},{"id":"2201.01995","title":"Improving Mandarin End-to-End Speech Recognition with Word N-gram Language Model","created":"2022-01-06","cited_by_count":6,"area":null},{"id":"2202.12163","title":"Attentive Temporal Pooling for Conformer-based Streaming Language Identification in Long-form Speech","created":"2022-02-24","cited_by_count":6,"area":null},{"id":"2203.00725","title":"A Conformer Based Acoustic Model for Robust Automatic Speech Recognition","created":"2022-03-01","cited_by_count":6,"area":null},{"id":"2306.13307","title":"Towards Effective and Compact Contextual Representation for Conformer Transducer Speech Recognition Systems","created":"2023-06-23","cited_by_count":6,"area":null},{"id":"2310.07062","title":"Acoustic Model Fusion for End-to-end Speech Recognition","created":"2023-10-10","cited_by_count":6,"area":null},{"id":"2204.00174","title":"InterAug: Augmenting Noisy Intermediate Predictions for CTC-based ASR","created":"2022-04-01","cited_by_count":5,"area":null},{"id":"2204.00176","title":"Better Intermediates Improve CTC Inference","created":"2022-04-01","cited_by_count":5,"area":null},{"id":"2208.07657","title":"Uconv-Conformer: High Reduction of Input Sequence Length for End-to-End Speech Recognition","created":"2022-08-16","cited_by_count":5,"area":null},{"id":"2211.17196","title":"EURO: ESPnet Unsupervised ASR Open-source Toolkit","created":"2022-11-30","cited_by_count":5,"area":null},{"id":"2305.17846","title":"Retraining-free Customized ASR for Enharmonic Words Based on a Named-Entity-Aware Model and Phoneme Similarity Estimation","created":"2023-05-29","cited_by_count":5,"area":null},{"id":"2309.10926","title":"Semi-Autoregressive Streaming ASR With Label Context","created":"2023-09-19","cited_by_count":5,"area":null},{"id":"2401.06806","title":"AugSumm: towards generalizable speech summarization using synthetic labels from large language model","created":"2024-01-10","cited_by_count":5,"area":null},{"id":"2107.01275","title":"Relaxed Attention: A Simple Method to Boost Performance of End-to-End Automatic Speech Recognition","created":"2021-07-02","cited_by_count":4,"area":null},{"id":"2107.03007","title":"Advancing CTC-CRF Based End-to-End Speech Recognition with Wordpieces and Conformers","created":"2021-07-07","cited_by_count":4,"area":null},{"id":"2205.12462","title":"Improving CTC-based ASR Models with Gated Interlayer Collaboration","created":"2022-05-25","cited_by_count":4,"area":null},{"id":"2206.11596","title":"Two-pass Decoding and Cross-adaptation Based System Combination of End-to-end Conformer and Hybrid TDNN ASR Systems","created":"2022-06-23","cited_by_count":4,"area":null},{"id":"2207.00883","title":"Improving Transformer-based Conversational ASR by Inter-Sentential Attention Mechanism","created":"2022-07-02","cited_by_count":4,"area":null},{"id":"2211.05967","title":"Align, Write, Re-order: Explainable End-to-End Speech Translation via Operation Sequence Generation","created":"2022-11-11","cited_by_count":4,"area":null},{"id":"2301.09099","title":"Unsupervised Data Selection for TTS: Using Arabic Broadcast News as a Case Study","created":"2023-01-22","cited_by_count":4,"area":null},{"id":"2306.15265","title":"Hyper-parameter Adaptation of Conformer ASR Systems for Elderly and Dysarthric Speech Recognition","created":"2023-06-27","cited_by_count":4,"area":null},{"id":"2307.02909","title":"Audio-visual End-to-end Multi-channel Speech Separation, Dereverberation and Recognition","created":"2023-07-06","cited_by_count":4,"area":null},{"id":"2406.02950","title":"Joint Beam Search Integrating CTC, Attention, and Transducer Decoders","created":"2024-06-05","cited_by_count":4,"area":null},{"id":"2106.16055","title":"IMS' Systems for the IWSLT 2021 Low-Resource Speech Translation Task","created":"2021-06-30","cited_by_count":3,"area":null},{"id":"2107.05907","title":"Conformer-based End-to-end Speech Recognition With Rotary Position Embedding","created":"2021-07-13","cited_by_count":3,"area":null},{"id":"2112.06721","title":"PM-MMUT: Boosted Phone-Mask Data Augmentation using Multi-Modeling Unit Training for Phonetic-Reduction-Robust E2E Speech Recognition","created":"2021-12-13","cited_by_count":3,"area":null},{"id":"2203.15614","title":"Integrating Lattice-Free MMI into End-to-End Speech Recognition","created":"2022-03-29","cited_by_count":3,"area":null},{"id":"2208.01818","title":"VQ-T: RNN Transducers using Vector-Quantized Prediction Network States","created":"2022-08-03","cited_by_count":3,"area":null},{"id":"2208.13259","title":"Bayesian Neural Network Language Modeling for Speech Recognition","created":"2022-08-28","cited_by_count":3,"area":null},{"id":"2211.03025","title":"Bridging Speech and Textual Pre-trained Models with Unsupervised ASR","created":"2022-11-06","cited_by_count":3,"area":null},{"id":"2305.00926","title":"Joint Modelling of Spoken Language Understanding Tasks with Integrated Dialog History","created":"2023-05-01","cited_by_count":3,"area":null},{"id":"2305.11569","title":"Language-Universal Phonetic Representation in Multilingual Speech Pretraining for Low-Resource Speech Recognition","created":"2023-05-19","cited_by_count":3,"area":null},{"id":"2306.11309","title":"Multi-pass Training and Cross-information Fusion for Low-resource End-to-end Accented Speech Recognition","created":"2023-06-20","cited_by_count":3,"area":null},{"id":"2103.07186","title":"Dynamic Acoustic Unit Augmentation With BPE-Dropout for Low-Resource End-to-End Speech Recognition","created":"2021-03-12","cited_by_count":2,"area":null},{"id":"2106.04275","title":"Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition","created":"2021-06-08","cited_by_count":2,"area":null},{"id":"2108.10752","title":"Generalizing RNN-Transducer to Out-Domain Audio via Sparse Self-Attention Layers","created":"2021-08-22","cited_by_count":2,"area":null},{"id":"2110.15836","title":"Combining Unsupervised and Text Augmented Semi-Supervised Learning for Low Resourced Autoregressive Speech Recognition","created":"2021-10-29","cited_by_count":2,"area":null},{"id":"2203.15206","title":"Shifted Chunk Encoder for Transformer Based Streaming End-to-End ASR","created":"2022-03-29","cited_by_count":2,"area":null},{"id":"2206.07882","title":"Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization","created":"2022-06-16","cited_by_count":2,"area":null},{"id":"2208.04243","title":"A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translation","created":"2022-08-08","cited_by_count":2,"area":null},{"id":"2210.16643","title":"XNOR-FORMER: Learning Accurate Approximations in Long Speech Transformers","created":"2022-10-29","cited_by_count":2,"area":null},{"id":"2305.11576","title":"Language-universal phonetic encoder for low-resource speech recognition","created":"2023-05-19","cited_by_count":2,"area":null},{"id":"2309.10524","title":"Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition","created":"2023-09-19","cited_by_count":2,"area":null},{"id":"2407.03718","title":"Multi-Convformer: Extending Conformer with Multiple Convolution Kernels","created":"2024-07-04","cited_by_count":2,"area":null},{"id":"2410.00680","title":"The Conformer Encoder May Reverse the Time Dimension","created":"2024-10-01","cited_by_count":2,"area":null},{"id":"2106.05885","title":"Balanced End-to-End Monolingual pre-training for Low-Resourced Indic Languages Code-Switching Speech Recognition","created":"2021-06-10","cited_by_count":1,"area":null}],"next_cursor":"100"}