huggingface/open_asr_leaderboard

Facebook AI Research's Automatic Speech Recognition Toolkit

Your faithful, impartial partner for audio evaluation — know yourself, know your rivals. 真实评测，知己知彼。A unified benchmark framework for ASR/TTS/Audio Codec/audio LLM evaluation

speech to text benchmark framework

First foundation ASR built for the real world - 7 atomic acoustic conditions, 54 compound scenarios, 2.6M samples, and up to ~30% gains over SOTA where every other model falls apart. **You'll come back to MEGA-ASR, after the rest fail in the wild. ⭐**

Open-source reproducible benchmarks from Argmax

Reproducible voice-AI benchmarking — TTS / STT / S2S latency and accuracy.

An open-source implementation of Whisper

Phone and word timestamp accuracy on human-labeled TIMIT and Buckeye, clean and under reverb, noise, music and babble. Two tracks, forced aligners given the transcript and ASR systems that find their own words. MFA, WhisperX, Charsiu, Qwen3, Parakeet-TDT, Olign and more. Monthly leaderboards, paper on arXiv.