{"total":92,"rows":[{"id":"2202.01855","title":"Self-supervised Learning with Random-projection Quantizer for Speech Recognition","created":"2022-02-03","cited_by_count":162,"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":"2203.15455","title":"WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit","created":"2022-03-29","cited_by_count":47,"area":null},{"id":"2102.01380","title":"Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition","created":"2021-02-02","cited_by_count":37,"area":null},{"id":"2109.07513","title":"Tied & Reduced RNN-T Decoder","created":"2021-09-15","cited_by_count":36,"area":null},{"id":"2110.01500","title":"Factorized Neural Transducer for Efficient Language Model Adaptation","created":"2021-09-27","cited_by_count":32,"area":null},{"id":"2109.06952","title":"Residual Adapters for Parameter-Efficient ASR Adaptation to Atypical and Accented Speech","created":"2021-09-14","cited_by_count":31,"area":null},{"id":"2204.05352","title":"Large-Scale Streaming End-to-End Speech Translation with Neural Transducers","created":"2022-04-11","cited_by_count":31,"area":null},{"id":"2101.11577","title":"Transformer Based Deliberation for Two-Pass Speech Recognition","created":"2021-01-27","cited_by_count":29,"area":null},{"id":"2110.11346","title":"Data-Driven Offline Optimization For Architecting Hardware Accelerators","created":"2021-10-20","cited_by_count":29,"area":null},{"id":"2107.05876","title":"A Configurable Multilingual Model is All You Need to Recognize All Languages","created":"2021-07-13","cited_by_count":28,"area":null},{"id":"2203.12668","title":"Pseudo Label Is Better Than Human Label","created":"2022-03-22","cited_by_count":25,"area":null},{"id":"2203.15952","title":"4-bit Conformer with Native Quantization Aware Training for Speech Recognition","created":"2022-03-29","cited_by_count":24,"area":null},{"id":"2103.06716","title":"Learning Word-Level Confidence For Subword End-to-End ASR","created":"2021-03-11","cited_by_count":22,"area":null},{"id":"2104.02207","title":"Dissecting User-Perceived Latency of On-Device E2E Speech Recognition","created":"2021-04-06","cited_by_count":19,"area":null},{"id":"2105.00858","title":"On Addressing Practical Challenges for RNN-Transducer","created":"2021-04-27","cited_by_count":19,"area":null},{"id":"2106.02302","title":"Minimum Word Error Rate Training with Language Model Fusion for End-to-End Speech Recognition","created":"2021-06-04","cited_by_count":19,"area":null},{"id":"2110.05354","title":"Internal Language Model Adaptation with Text-Only Data for End-to-End Speech Recognition","created":"2021-10-06","cited_by_count":17,"area":null},{"id":"2203.00888","title":"Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems","created":"2022-03-02","cited_by_count":17,"area":null},{"id":"2204.10749","title":"E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR","created":"2022-04-22","cited_by_count":17,"area":null},{"id":"2210.17049","title":"Modular Hybrid Autoregressive Transducer","created":"2022-10-31","cited_by_count":17,"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":"2110.04612","title":"Personalized Automatic Speech Recognition Trained on Small Disordered Speech Datasets","created":"2021-10-09","cited_by_count":14,"area":null},{"id":"2112.11442","title":"Deliberation of Streaming RNN-Transducer by Non-autoregressive Decoding","created":"2021-12-01","cited_by_count":13,"area":null},{"id":"2110.03634","title":"Enabling On-Device Training of Speech Recognition Models with Federated Dropout","created":"2021-10-07","cited_by_count":12,"area":null},{"id":"2204.03793","title":"Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition","created":"2022-04-08","cited_by_count":12,"area":null},{"id":"2209.05735","title":"Learning ASR pathways: A sparse multilingual ASR model","created":"2022-09-13","cited_by_count":12,"area":null},{"id":"2102.09114","title":"Echo State Speech Recognition","created":"2021-02-18","cited_by_count":11,"area":null},{"id":"2204.06164","title":"A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes","created":"2022-04-13","cited_by_count":11,"area":null},{"id":"2212.01992","title":"Fast and accurate factorized neural transducer for text adaption of end-to-end speech recognition models","created":"2022-12-05","cited_by_count":11,"area":null},{"id":"2306.06083","title":"Improving Fairness and Robustness in End-to-End Speech Recognition through unsupervised clustering","created":"2023-06-06","cited_by_count":11,"area":null},{"id":"2204.09606","title":"Detecting Unintended Memorization in Language-Model-Fused ASR","created":"2022-04-20","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":"2111.10770","title":"Efficient Softmax Approximation for Deep Neural Networks with Attention Mechanism","created":"2021-11-21","cited_by_count":9,"area":null},{"id":"2208.13916","title":"A Language Agnostic Multilingual Streaming On-Device ASR System","created":"2022-08-29","cited_by_count":9,"area":null},{"id":"2302.08583","title":"JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition","created":"2023-02-16","cited_by_count":9,"area":null},{"id":"2104.12870","title":"Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction","created":"2021-04-26","cited_by_count":8,"area":null},{"id":"2104.13970","title":"Personalized Keyphrase Detection using Speaker and Environment Information","created":"2021-04-28","cited_by_count":8,"area":null},{"id":"2108.12953","title":"Multi-Channel Transformer Transducer for Speech Recognition","created":"2021-08-30","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":"2101.05453","title":"On the quantization of recurrent neural networks","created":"2021-01-14","cited_by_count":7,"area":null},{"id":"2305.13408","title":"Modular Domain Adaptation for Conformer-Based Streaming ASR","created":"2023-05-22","cited_by_count":7,"area":null},{"id":"2307.04552","title":"SparseVSR: Lightweight and Noise Robust Visual Speech Recognition","created":"2023-07-10","cited_by_count":7,"area":null},{"id":"2207.00706","title":"UserLibri: A Dataset for ASR Personalization Using Only Text","created":"2022-07-02","cited_by_count":6,"area":null},{"id":"2307.14132","title":"CIF-T: A Novel CIF-based Transducer Architecture for Automatic Speech Recognition","created":"2023-07-26","cited_by_count":6,"area":null},{"id":"2311.08966","title":"Improving Large-scale Deep Biasing with Phoneme Features and Text-only Data in Streaming Transducer","created":"2023-11-15","cited_by_count":6,"area":null},{"id":"2312.10359","title":"Conformer-Based Speech Recognition On Extreme Edge-Computing Devices","created":"2023-12-16","cited_by_count":6,"area":null},{"id":"2106.15919","title":"On joint training with interfaces for spoken language understanding","created":"2021-06-30","cited_by_count":5,"area":null},{"id":"2206.15408","title":"Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition","created":"2022-06-30","cited_by_count":5,"area":null},{"id":"2207.11906","title":"Learning a Dual-Mode Speech Recognition Model via Self-Pruning","created":"2022-07-25","cited_by_count":5,"area":null},{"id":"2306.04076","title":"Text-only Domain Adaptation using Unified Speech-Text Representation in Transducer","created":"2023-06-07","cited_by_count":5,"area":null},{"id":"2210.14742","title":"Monotonic segmental attention for automatic speech recognition","created":"2022-10-26","cited_by_count":4,"area":null},{"id":"2211.00325","title":"Speech-text based multi-modal training with bidirectional attention for improved speech recognition","created":"2022-11-01","cited_by_count":4,"area":null},{"id":"2309.01947","title":"TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-device ASR Models","created":"2023-09-05","cited_by_count":4,"area":null},{"id":"2409.20301","title":"Alignment-Free Training for Transducer-based Multi-Talker ASR","created":"2024-09-30","cited_by_count":4,"area":null},{"id":"2104.02232","title":"Flexi-Transducer: Optimizing Latency, Accuracy and Compute forMulti-Domain On-Device Scenarios","created":"2021-04-06","cited_by_count":3,"area":null},{"id":"2104.14346","title":"Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models","created":"2021-04-25","cited_by_count":3,"area":null},{"id":"2210.15876","title":"Random Utterance Concatenation Based Data Augmentation for Improving Short-video Speech Recognition","created":"2022-10-28","cited_by_count":3,"area":null},{"id":"2304.00173","title":"Lego-Features: Exporting modular encoder features for streaming and deliberation ASR","created":"2023-03-31","cited_by_count":3,"area":null},{"id":"2406.02921","title":"Text Injection for Neural Contextual Biasing","created":"2024-06-05","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":"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":"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":"2206.12829","title":"On Comparison of Encoders for Attention based End to End Speech Recognition in Standalone and Rescoring Mode","created":"2022-06-26","cited_by_count":2,"area":null},{"id":"2211.00968","title":"Internal Language Model Estimation based Adaptive Language Model Fusion for Domain Adaptation","created":"2022-11-02","cited_by_count":2,"area":null},{"id":"2305.17304","title":"External Language Model Integration for Factorized Neural Transducers","created":"2023-05-26","cited_by_count":2,"area":null},{"id":"2310.00141","title":"The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections through Federated Learning","created":"2023-09-29","cited_by_count":2,"area":null},{"id":"2312.11123","title":"Improved Long-Form Speech Recognition by Jointly Modeling the Primary and Non-primary Speakers","created":"2023-12-18","cited_by_count":2,"area":null},{"id":"2407.06606","title":"Tailored Design of Audio-Visual Speech Recognition Models using Branchformers","created":"2024-07-09","cited_by_count":2,"area":null},{"id":"2502.13446","title":"Adopting Whisper for Confidence Estimation","created":"2025-02-19","cited_by_count":2,"area":null},{"id":"2104.10764","title":"HMM-Free Encoder Pre-Training for Streaming RNN Transducer","created":"2021-04-02","cited_by_count":1,"area":null},{"id":"2110.04267","title":"Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training","created":"2021-10-08","cited_by_count":1,"area":null},{"id":"2207.14578","title":"Pronunciation-aware unique character encoding for RNN Transducer-based Mandarin speech recognition","created":"2022-07-29","cited_by_count":1,"area":null},{"id":"2210.16892","title":"Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training","created":"2022-10-30","cited_by_count":1,"area":null},{"id":"2304.00171","title":"Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR","created":"2023-03-31","cited_by_count":1,"area":null},{"id":"2305.14049","title":"Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding","created":"2023-05-23","cited_by_count":1,"area":null},{"id":"2308.07395","title":"Text Injection for Capitalization and Turn-Taking Prediction in Speech Models","created":"2023-08-14","cited_by_count":1,"area":null},{"id":"2311.16595","title":"D4AM: A General Denoising Framework for Downstream Acoustic Models","created":"2023-11-28","cited_by_count":1,"area":null},{"id":"2410.05146","title":"CTC-GMM: CTC guided modality matching for fast and accurate streaming speech translation","created":"2024-10-07","cited_by_count":1,"area":null},{"id":"2506.06252","title":"Lightweight Prompt Biasing for Contextualized End-to-End ASR Systems","created":"2025-06-06","cited_by_count":1,"area":null},{"id":"2506.14434","title":"Unifying Streaming and Non-streaming Zipformer-based ASR","created":"2025-06-17","cited_by_count":1,"area":null},{"id":"2602.22522","title":"Efficient Dialect-Aware Modeling and Conditioning for Low-Resource Taiwanese Hakka Speech Processing","created":"2026-02-26","cited_by_count":1,"area":null},{"id":"2305.15536","title":"RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models","created":"2023-05-24","cited_by_count":0,"area":null},{"id":"2305.18596","title":"Building Accurate Low Latency ASR for Streaming Voice Search","created":"2023-05-29","cited_by_count":0,"area":null},{"id":"2306.01789","title":"Edit Distance based RL for RNNT decoding","created":"2023-05-31","cited_by_count":0,"area":null},{"id":"2308.08449","title":"Improving CTC-AED model with integrated-CTC and auxiliary loss regularization","created":"2023-08-15","cited_by_count":0,"area":null},{"id":"2312.09463","title":"Partial Rewriting for Multi-Stage ASR","created":"2023-12-08","cited_by_count":0,"area":null},{"id":"2406.10276","title":"Soft Language Identification for Language-Agnostic Many-to-One End-to-End Speech Translation","created":"2024-06-12","cited_by_count":0,"area":null},{"id":"2506.14204","title":"Improving Practical Aspects of End-to-End Multi-Talker Speech Recognition for Online and Offline Scenarios","created":"2025-06-17","cited_by_count":0,"area":null},{"id":"2603.01382","title":"End-to-End Simultaneous Dysarthric Speech Reconstruction with Frame-Level Adaptor and Multiple Wait-k Knowledge Distillation","created":"2026-03-02","cited_by_count":0,"area":null},{"id":"2610.03017","title":"Personalized Automatic Speech Recognition for a Dysarthric and Tracheostomic Speaker using Artificial Conversations","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}