{"total":199,"rows":[{"id":"2212.04356","title":"Robust Speech Recognition via Large-Scale Weak Supervision","created":"2022-12-06","cited_by_count":4057,"area":null},{"id":"2106.04624","title":"SpeechBrain: A General-Purpose Speech Toolkit","created":"2021-06-08","cited_by_count":406,"area":null},{"id":"2206.04658","title":"BigVGAN: A Universal Neural Vocoder with Large-Scale Training","created":"2022-06-09","cited_by_count":251,"area":null},{"id":"2311.00176","title":"ChipNeMo: Domain-Adapted LLMs for Chip Design","created":"2023-10-31","cited_by_count":174,"area":null},{"id":"2203.16502","title":"Generative Spoken Dialogue Language Modeling","created":"2022-03-30","cited_by_count":126,"area":null},{"id":"2303.14307","title":"Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labels","created":"2023-03-25","cited_by_count":114,"area":null},{"id":"2502.04144","title":"HD-EPIC: A Highly-Detailed Egocentric Video Dataset","created":"2025-02-06","cited_by_count":104,"area":null},{"id":"2310.11230","title":"Zipformer: A faster and better encoder for automatic speech recognition","created":"2023-10-17","cited_by_count":80,"area":null},{"id":"2104.02014","title":"SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognition","created":"2021-04-05","cited_by_count":78,"area":null},{"id":"2310.09424","title":"SALM: Speech-augmented Language Model with In-context Learning for Speech Recognition and Translation","created":"2023-10-13","cited_by_count":76,"area":null},{"id":"2406.06185","title":"EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation","created":"2024-06-10","cited_by_count":64,"area":null},{"id":"2304.06795","title":"Efficient Sequence Transduction by Jointly Predicting Tokens and Durations","created":"2023-04-13","cited_by_count":58,"area":null},{"id":"2407.00463","title":"Open-Source Conversational AI with SpeechBrain 1.0","created":"2024-06-29","cited_by_count":56,"area":null},{"id":"2305.01639","title":"Privacy-Preserving In-Context Learning for Large Language Models","created":"2023-05-02","cited_by_count":50,"area":null},{"id":"2406.10260","title":"Flextron: Many-in-One Flexible Large Language Model","created":"2024-06-11","cited_by_count":45,"area":null},{"id":"2409.20007","title":"DeSTA2: Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Data","created":"2024-09-30","cited_by_count":45,"area":null},{"id":"2212.10525","title":"SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks","created":"2022-12-20","cited_by_count":35,"area":null},{"id":"2505.15670","title":"SALM-Duplex: Efficient and Direct Duplex Modeling for Speech-to-Speech Language Model","created":"2025-05-21","cited_by_count":34,"area":null},{"id":"2406.18871","title":"DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment","created":"2024-06-27","cited_by_count":33,"area":null},{"id":"2104.05055","title":"NeMo Inverse Text Normalization: From Development To Production","created":"2021-04-11","cited_by_count":29,"area":null},{"id":"2406.10507","title":"Benchmarking Children's ASR with Supervised and Self-supervised Speech Foundation Models","created":"2024-06-15","cited_by_count":29,"area":null},{"id":"2407.09886","title":"Speech-Copilot: Leveraging Large Language Models for Speech Processing via Task Decomposition, Modularization, and Program Generation","created":"2024-07-13","cited_by_count":27,"area":null},{"id":"2310.01467","title":"FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models","created":"2023-10-02","cited_by_count":26,"area":null},{"id":"2311.12410","title":"nach0: Multimodal Natural and Chemical Languages Foundation Model","created":"2023-11-21","cited_by_count":26,"area":null},{"id":"2312.17279","title":"Stateful Conformer with Cache-based Inference for Streaming Automatic Speech Recognition","created":"2023-12-27","cited_by_count":25,"area":null},{"id":"2301.08810","title":"Phoneme-Level BERT for Enhanced Prosody of Text-to-Speech with Grapheme Predictions","created":"2023-01-20","cited_by_count":23,"area":null},{"id":"2411.07111","title":"Building a Taiwanese Mandarin Spoken Language Model: A First Attempt","created":"2024-11-11","cited_by_count":23,"area":null},{"id":"2510.06961","title":"Open ASR Leaderboard: Towards Reproducible and Transparent Multilingual and Long-Form Speech Recognition Evaluation","created":"2025-10-08","cited_by_count":23,"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":"2211.17148","title":"ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format","created":"2022-11-30","cited_by_count":22,"area":null},{"id":"2401.17230","title":"ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models","created":"2024-01-30","cited_by_count":22,"area":null},{"id":"2305.15386","title":"Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR","created":"2023-05-24","cited_by_count":21,"area":null},{"id":"2401.08887","title":"NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcription","created":"2024-01-16","cited_by_count":21,"area":null},{"id":"2406.19954","title":"BESTOW: Efficient and Streamable Speech Language Model with the Best of Two Worlds in GPT and T5","created":"2024-06-28","cited_by_count":19,"area":null},{"id":"2210.13352","title":"ESB: A Benchmark For Multi-Domain End-to-End Speech Recognition","created":"2022-10-24","cited_by_count":18,"area":null},{"id":"2110.03098","title":"CTC Variations Through New WFST Topologies","created":"2021-10-06","cited_by_count":17,"area":null},{"id":"2203.16930","title":"WavThruVec: Latent speech representation as intermediate features for neural speech synthesis","created":"2022-03-31","cited_by_count":17,"area":null},{"id":"2305.19709","title":"XPhoneBERT: A Pre-trained Multilingual Model for Phoneme Representations for Text-to-Speech","created":"2023-05-31","cited_by_count":16,"area":null},{"id":"2311.15451","title":"Uncertainty-aware Language Modeling for Selective Question Answering","created":"2023-11-26","cited_by_count":16,"area":null},{"id":"2404.06690","title":"CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations","created":"2024-04-10","cited_by_count":15,"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":"2306.17674","title":"X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents","created":"2023-06-30","cited_by_count":13,"area":null},{"id":"2310.01688","title":"One model to rule them all ? Towards End-to-End Joint Speaker Diarization and Speech Recognition","created":"2023-10-02","cited_by_count":12,"area":null},{"id":"2211.03541","title":"Multi-blank Transducers for Speech Recognition","created":"2022-11-04","cited_by_count":11,"area":null},{"id":"2302.14036","title":"Text-only domain adaptation for end-to-end ASR using integrated text-to-mel-spectrogram generator","created":"2023-02-27","cited_by_count":11,"area":null},{"id":"2409.09785","title":"Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition","created":"2024-09-15","cited_by_count":11,"area":null},{"id":"2208.09016","title":"Improving Small Molecule Generation using Mutual Information Machine","created":"2022-08-18","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":"2405.03637","title":"Collage: Light-Weight Low-Precision Strategy for LLM Training","created":"2024-05-06","cited_by_count":10,"area":null},{"id":"2411.10548","title":"BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery","created":"2024-11-15","cited_by_count":10,"area":null},{"id":"2406.06220","title":"Label-Looping: Highly Efficient Decoding for Transducers","created":"2024-06-10","cited_by_count":9,"area":null},{"id":"2111.08634","title":"NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21","created":"2021-11-16","cited_by_count":8,"area":null},{"id":"2309.08590","title":"Neural Machine Translation Models Can Learn to be Few-shot Learners","created":"2023-09-15","cited_by_count":8,"area":null},{"id":"2104.08189","title":"TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction","created":"2021-04-16","cited_by_count":7,"area":null},{"id":"2212.08703","title":"Fast Entropy-Based Methods of Word-Level Confidence Estimation for End-To-End Automatic Speech Recognition","created":"2022-12-16","cited_by_count":7,"area":null},{"id":"2303.10384","title":"Powerful and Extensible WFST Framework for RNN-Transducer Losses","created":"2023-03-18","cited_by_count":7,"area":null},{"id":"2405.12983","title":"Multilingual Audio-Visual Speech Recognition with Hybrid CTC/RNN-T Fast Conformer","created":"2024-03-14","cited_by_count":7,"area":null},{"id":"2411.00284","title":"SimpleFSDP: Simpler Fully Sharded Data Parallel with torch.compile","created":"2024-11-01","cited_by_count":7,"area":null},{"id":"2505.22857","title":"NGPU-LM: GPU-Accelerated N-Gram Language Model for Context-Biasing in Greedy ASR Decoding","created":"2025-05-28","cited_by_count":7,"area":null},{"id":"2512.16378","title":"Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs","created":"2025-12-18","cited_by_count":7,"area":null},{"id":"2211.05103","title":"Accidental Learners: Spoken Language Identification in Multilingual Self-Supervised Models","created":"2022-11-09","cited_by_count":6,"area":null},{"id":"2312.00025","title":"Secure Transformer Inference Protocol","created":"2023-11-14","cited_by_count":6,"area":null},{"id":"2312.09727","title":"LiteVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data","created":"2023-12-15","cited_by_count":6,"area":null},{"id":"2406.08820","title":"DisfluencySpeech -- Single-Speaker Conversational Speech Dataset with Paralanguage","created":"2024-06-13","cited_by_count":6,"area":null},{"id":"2410.17485","title":"VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning","created":"2024-10-23","cited_by_count":6,"area":null},{"id":"2505.15646","title":"Word Level Timestamp Generation for Automatic Speech Recognition and Translation","created":"2025-05-21","cited_by_count":6,"area":null},{"id":"2507.13390","title":"PARAM-1 BharatGen 2.9B Model","created":"2025-07-16","cited_by_count":6,"area":null},{"id":"2603.17837","title":"The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning","created":"2026-03-18","cited_by_count":6,"area":null},{"id":"2104.04896","title":"A Toolbox for Construction and Analysis of Speech Datasets","created":"2021-04-11","cited_by_count":5,"area":null},{"id":"2206.09790","title":"The Makerere Radio Speech Corpus: A Luganda Radio Corpus for Automatic Speech Recognition","created":"2022-06-20","cited_by_count":5,"area":null},{"id":"2208.01036","title":"Face-to-Face Contrastive Learning for Social Intelligence Question-Answering","created":"2022-07-29","cited_by_count":5,"area":null},{"id":"2209.12043","title":"Unsupervised domain adaptation for speech recognition with unsupervised error correction","created":"2022-09-24","cited_by_count":5,"area":null},{"id":"2210.15781","title":"A Compact End-to-End Model with Local and Global Context for Spoken Language Identification","created":"2022-10-27","cited_by_count":5,"area":null},{"id":"2304.11073","title":"OLISIA: a Cascade System for Spoken Dialogue State Tracking","created":"2023-04-20","cited_by_count":5,"area":null},{"id":"2402.00235","title":"Exploring the limits of decoder-only models trained on public speech recognition corpora","created":"2024-01-31","cited_by_count":5,"area":null},{"id":"2406.14890","title":"InterBiasing: Boost Unseen Word Recognition through Biasing Intermediate Predictions","created":"2024-06-21","cited_by_count":5,"area":null},{"id":"2408.14026","title":"Empowering Low-Resource Language ASR via Large-Scale Pseudo Labeling","created":"2024-08-26","cited_by_count":5,"area":null},{"id":"2503.08954","title":"An Exhaustive Evaluation of TTS- and VC-based Data Augmentation for ASR","created":"2025-03-11","cited_by_count":5,"area":null},{"id":"2504.07402","title":"LauraTSE: Target Speaker Extraction using Auto-Regressive Decoder-Only Language Models","created":"2025-04-10","cited_by_count":5,"area":null},{"id":"2509.10371","title":"Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective","created":"2025-09-12","cited_by_count":5,"area":null},{"id":"2105.08049","title":"SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services","created":"2021-05-17","cited_by_count":4,"area":null},{"id":"2305.13905","title":"EfficientSpeech: An On-Device Text to Speech Model","created":"2023-05-23","cited_by_count":4,"area":null},{"id":"2306.15824","title":"Confidence-based Ensembles of End-to-End Speech Recognition Models","created":"2023-06-27","cited_by_count":4,"area":null},{"id":"2311.12564","title":"Summary of the DISPLACE Challenge 2023 - DIarization of SPeaker and LAnguage in Conversational Environments","created":"2023-11-21","cited_by_count":4,"area":null},{"id":"2403.08196","title":"SpeechColab Leaderboard: An Open-Source Platform for Automatic Speech Recognition Evaluation","created":"2024-03-13","cited_by_count":4,"area":null},{"id":"2409.13523","title":"EMMeTT: Efficient Multimodal Machine Translation Training","created":"2024-09-20","cited_by_count":4,"area":null},{"id":"2412.13788","title":"Open Universal Arabic ASR Leaderboard","created":"2024-12-18","cited_by_count":4,"area":null},{"id":"2505.00579","title":"Voice Cloning: Comprehensive Survey","created":"2025-05-01","cited_by_count":4,"area":null},{"id":"2505.10975","title":"Survey of End-to-End Multi-Speaker Automatic Speech Recognition for Monaural Audio","created":"2025-05-16","cited_by_count":4,"area":null},{"id":"2506.00185","title":"Pushing the Limits of Beam Search Decoding for Transducer-based ASR models","created":"2025-05-30","cited_by_count":4,"area":null},{"id":"2506.00267","title":"CASPER: A Large Scale Spontaneous Speech Dataset","created":"2025-05-30","cited_by_count":4,"area":null},{"id":"2112.12572","title":"Are E2E ASR models ready for an industrial usage?","created":"2021-12-09","cited_by_count":3,"area":null},{"id":"2302.05040","title":"PATCorrect: Non-autoregressive Phoneme-augmented Transformer for ASR Error Correction","created":"2023-02-10","cited_by_count":3,"area":null},{"id":"2310.17953","title":"Developing a Multilingual Dataset and Evaluation Metrics for Code-Switching: A Focus on Hong Kong's Polylingual Dynamics","created":"2023-10-27","cited_by_count":3,"area":null},{"id":"2404.08016","title":"ONNXPruner: ONNX-Based General Model Pruning Adapter","created":"2024-04-10","cited_by_count":3,"area":null},{"id":"2410.16712","title":"DENOASR: Debiasing ASRs through Selective Denoising","created":"2024-10-22","cited_by_count":3,"area":null},{"id":"2506.01263","title":"WCTC-Biasing: Retraining-free Contextual Biasing ASR with Wildcard CTC-based Keyword Spotting and Inter-layer Biasing","created":"2025-06-02","cited_by_count":3,"area":null},{"id":"2511.13529","title":"Toward Conversational Hungarian Speech Recognition: Introducing the BEA-Large and BEA-Dialogue Datasets","created":"2025-11-17","cited_by_count":3,"area":null},{"id":"2111.10639","title":"Implicit Acoustic Echo Cancellation for Keyword Spotting and Device-Directed Speech Detection","created":"2021-11-20","cited_by_count":2,"area":null},{"id":"2202.00601","title":"BEA-Base: A Benchmark for ASR of Spontaneous Hungarian","created":"2022-02-01","cited_by_count":2,"area":null}],"next_cursor":"100"}