{"total":54,"rows":[{"id":"2509.14128","title":"Canary-1B-v2 & Parakeet-TDT-0.6B-v3: Efficient and High-Performance Models for Multilingual ASR and AST","created":"2025-09-17","cited_by_count":60,"area":null},{"id":"2604.24954","title":"Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence","created":"2026-04-27","cited_by_count":30,"area":null},{"id":"2508.19205","title":"VibeVoice Technical Report","created":"2025-08-26","cited_by_count":29,"area":null},{"id":"2509.08753","title":"Streaming Sequence-to-Sequence Learning with Delayed Streams Modeling","created":"2025-09-10","cited_by_count":27,"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":"2502.12414","title":"Lost in Transcription, Found in Distribution Shift: Demystifying Hallucination in Speech Foundation Models","created":"2025-02-18","cited_by_count":18,"area":null},{"id":"2504.07053","title":"TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling","created":"2025-04-09","cited_by_count":16,"area":null},{"id":"2601.18184","title":"VIBEVOICE-ASR Technical Report","created":"2026-01-26","cited_by_count":16,"area":null},{"id":"2508.05835","title":"NanoCodec: Towards High-Quality Ultra Fast Speech LLM Inference","created":"2025-08-07","cited_by_count":15,"area":null},{"id":"2406.03791","title":"Speed of Light Exact Greedy Decoding for RNN-T Speech Recognition Models on GPU","created":"2024-06-06","cited_by_count":12,"area":null},{"id":"2309.14809","title":"ENIGMA-51: Towards a Fine-Grained Understanding of Human-Object Interactions in Industrial Scenarios","created":"2023-09-26","cited_by_count":11,"area":null},{"id":"2406.06220","title":"Label-Looping: Highly Efficient Decoding for Transducers","created":"2024-06-10","cited_by_count":9,"area":null},{"id":"2510.16567","title":"Hallucination Benchmark for Speech Foundation Models","created":"2025-10-18","cited_by_count":8,"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":"2505.15646","title":"Word Level Timestamp Generation for Automatic Speech Recognition and Translation","created":"2025-05-21","cited_by_count":6,"area":null},{"id":"2409.05601","title":"Longer is (Not Necessarily) Stronger: Punctuated Long-Sequence Training for Enhanced Speech Recognition and Translation","created":"2024-09-09","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":"2311.07418","title":"Speech-based Slot Filling using Large Language Models","created":"2023-11-13","cited_by_count":3,"area":null},{"id":"2505.08215","title":"Unveiling the Best Practices for Applying Speech Foundation Models to Speech Intelligibility Prediction for Hearing-Impaired People","created":"2025-05-13","cited_by_count":3,"area":null},{"id":"2602.12241","title":"Moonshine v2: Ergodic Streaming Encoder ASR for Latency-Critical Speech Applications","created":"2026-02-12","cited_by_count":3,"area":null},{"id":"2410.02597","title":"HAINAN: Fast and Accurate Transducer for Hybrid-Autoregressive ASR","created":"2024-10-03","cited_by_count":2,"area":null},{"id":"2511.18557","title":"Dealing with the Hard Facts of Low-Resource African NLP","created":"2025-11-23","cited_by_count":2,"area":null},{"id":"2512.19400","title":"Kunnafonidilaw ka Cadeau: an ASR dataset of present-day Bambara","created":"2025-12-22","cited_by_count":2,"area":null},{"id":"2310.06103","title":"Leveraging Multilingual Self-Supervised Pretrained Models for Sequence-to-Sequence End-to-End Spoken Language Understanding","created":"2023-10-09","cited_by_count":1,"area":null},{"id":"2407.04368","title":"Romanization Encoding For Multilingual ASR","created":"2024-07-05","cited_by_count":1,"area":null},{"id":"2505.13765","title":"WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection","created":"2025-05-19","cited_by_count":1,"area":null},{"id":"2509.24478","title":"A Text-To-Text Alignment Algorithm for Better Evaluation of Modern Speech Recognition Systems","created":"2025-09-29","cited_by_count":1,"area":null},{"id":"2509.25048","title":"Confidence-Guided Error Correction for Disordered Speech Recognition","created":"2025-09-29","cited_by_count":1,"area":null},{"id":"2511.03361","title":"Open Source State-Of-the-Art Solution for Romanian Speech Recognition","created":"2025-11-05","cited_by_count":1,"area":null},{"id":"2512.17562","title":"When De-noising Hurts: A Systematic Study of Speech Enhancement Effects on Modern Medical ASR Systems","created":"2025-12-19","cited_by_count":1,"area":null},{"id":"2603.11578","title":"Streaming Translation and Transcription Through Speech-to-Text Causal Alignment","created":"2026-03-12","cited_by_count":1,"area":null},{"id":"2606.21882","title":"Streaming T5-based Text-to-Speech Synthesis with Limited Lookahead","created":"2026-06-20","cited_by_count":1,"area":null},{"id":"2606.29534","title":"Preference-ASR: A Preference-Aware Test Set for Benchmarking ASR in the Era of Speech LLMs","created":"2026-06-28","cited_by_count":1,"area":null},{"id":"2607.06831","title":"Gradient-Based Speech-to-Text Alignment for Any ASR Model: From CTC to Speech LLMs","created":"2026-07-07","cited_by_count":1,"area":null},{"id":"2608.29999","title":"TEMPO: Temporally-grounded Multi-task Post-training for Large Audio-Language Models","created":"2026-08-30","cited_by_count":1,"area":null},{"id":"2501.07329","title":"Joint Automatic Speech Recognition And Structure Learning For Better Speech Understanding","created":"2025-01-13","cited_by_count":0,"area":null},{"id":"2509.16979","title":"Leveraging Multiple Speech Enhancers for Non-Intrusive Intelligibility Prediction for Hearing-Impaired Listeners","created":"2025-09-21","cited_by_count":0,"area":null},{"id":"2601.01121","title":"Listen, Attend, Understand: a Regularization Technique for Stable E2E Speech Translation Training on High Variance labels","created":"2026-01-03","cited_by_count":0,"area":null},{"id":"2602.01394","title":"SSNAPS: Audio-Visual Separation of Speech and Background Noise with Diffusion Inverse Sampling","created":"2026-02-01","cited_by_count":0,"area":null},{"id":"2602.20967","title":"Training-Free Intelligibility-Guided Observation Addition for Noisy ASR","created":"2026-02-24","cited_by_count":0,"area":null},{"id":"2602.24245","title":"Chunk-wise Attention Transducers for Fast and Accurate Streaming Speech-to-Text","created":"2026-02-27","cited_by_count":0,"area":null},{"id":"2603.15326","title":"Tagarela - A Portuguese speech dataset from podcasts","created":"2026-03-16","cited_by_count":0,"area":null},{"id":"2606.23048","title":"HALAS: A Human-Annotated Dataset of Hallucinations of Modern ASR Systems","created":"2026-06-22","cited_by_count":0,"area":null},{"id":"2606.31508","title":"Building an ASR Solution for Training and Assessing Children's Reading","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2607.23813","title":"Earnings25: A Comprehensive 500-Hour Speech Benchmark for Finance","created":"2026-07-26","cited_by_count":0,"area":null},{"id":"2608.08510","title":"From Speech to Interaction: Analyzing Multimodal Systems in Cocktail-Party Scenarios","created":"2026-08-09","cited_by_count":0,"area":null},{"id":"2608.19936","title":"Towards Quantifying Benchmark Optimization in ASR Models","created":"2026-08-20","cited_by_count":0,"area":null},{"id":"2608.21343","title":"TurboBias 2.0: Streaming Context-Biasing for Production-Efficient ASR Systems","created":"2026-08-21","cited_by_count":0,"area":null},{"id":"2608.24041","title":"Relative Time Intervals Representation for Word-level Timestamping with Masked Training","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2609.10054","title":"Orukeet: Multilingual ASR with Frozen Gabor Kernels","created":"2026-09-09","cited_by_count":0,"area":null},{"id":"2609.11786","title":"Beyond Word Error Rate: A Switch Aware Evaluation of ASR and Audio Language Models on English Yoruba Code-Switched Speech","created":"2026-09-10","cited_by_count":0,"area":null},{"id":"2609.27382","title":"When Entanglement Lower-Bounds Disparity: Auditing and Repairing Demographic Fairness in Audio Understanding Models","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2609.32396","title":"FA-Bench: A Benchmark for Phone- and Word-Level Timestamp Accuracy in Forced Alignment and ASR on Clean and Noisy Speech","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2609.38897","title":"FFASR: Benchmarking Far-Field Automatic Speech Recognition using High-Fidelity Simulated RIRs","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}