FFASR: Benchmarking Far-Field Automatic Speech Recognition using High-Fidelity Simulated RIRs

arXiv:2609.38897 · cs.SD, cs.AI, cs.PF · Submitted 2026-09-30 · Read on arXiv

cs.SD, cs.AI, cs.PF

Submitted: 2026-09-30

Updated: 2026-09-30

Terminology

• Benchmarking — 1× in this paper · explained in 4 episodes
• Fidelity — 1× in this paper · explained in 2 episodes

Sources

• Open ASR Leaderboard: Towards Reproducible and Transparent Multilingual and Long-Form Speech Recognition Evaluation
• Treble10: A high-quality dataset for far-field speech recognition, dereverberation, and enhancement
• Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling
• Sequence Transduction with Recurrent Neural Networks
• Granite-speech: open-source speech-aware LLMs with strong English ASR capabilities
• Moonshine: Speech Recognition for Live Transcription and Voice Commands

Related papers

• Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement
• Spectral Masking and Interpolation Attack (SMIA): A Black-box Adversarial Attack against Voice Authentication and Anti-Spoofing Systems
• Remix the Timbre: Diffusion-Based Style Transfer Across Polyphonic Stems
• AVMeme Exam: A Multimodal Multilingual Multicultural Benchmark for LLMs' Contextual and Cultural Knowledge and Thinking
• SoundWeaver: Compositional Warm-Starting for Text-to-Audio Diffusion Serving
• WASIL: In-the-Wild Arabic Spoken Interactions with LLMs