Automatic Speech Recognition
AssessTechniques
Technology that converts spoken audio into text.
Why it's here
Placed in Assess: 3 article(s) of evidence from 1 source(s), led by product launches, with 1 in the last 30 days. Confidence 40%.
Evidence (3)
- 7Hugging Face Blog·7/15/2026researchHume AI unveils Real World VoiceEQ for evaluating voice AI quality
Hume AI introduced Real World VoiceEQ, a benchmark for measuring the human quality of voice AI across speech recognition, text-to-speech, speech-to-speech, and speech understanding. Built from over 1 million human ratings, it evaluates more than 40 models across 15+ dimensions and suggests current voice systems are increasingly specialized rather than having a single best performer.
- 8Hugging Face Blog·6/24/2026product_launchFFASR Leaderboard launches for real-world ASR benchmarking
Treble Technologies and Hugging Face have launched the FFASR Leaderboard, an open benchmark for evaluating automatic speech recognition in far-field acoustic conditions. The benchmark uses simulated rooms validated against real measurements and compares model accuracy and speed across realistic noise and reverberation settings.
- 7Hugging Face Blog·5/6/2026framework_updateOpen ASR Leaderboard Adds Private Anti-Gaming Datasets
Hugging Face updated the Open ASR Leaderboard with new high-quality English speech recognition datasets from Appen Inc. and DataoceanAI, covering scripted and conversational speech across multiple accents. The datasets will remain private to reduce benchmark gaming and test-set contamination, while the public leaderboard average still uses only public datasets by default, with an optional toggle to include the private sets.