subformer/meta-omnilingual-asr-7b 🖼️❓ → 📝
About
Omnilingual ASR 7B by Meta (Unofficial) - Automatic speech recognition supporting 1,693 languages with best-in-class accuracy. Meta's recommended variant for mission-critical transcription requiring maximum quality.
Example Output
Output
this is the micromachine man presenting the most midget miniature modicate of micromachines each one has dramatic details terrific trimmed precision pain jobs plus incredible micromachine pocket playsets there is a police station fire station restaurant service station and more perfect pocket portables to take any place and there are many miniature playsets to play within each one comes with its own special addition micromachine vehicle and fun fantastic features that miraculously move raise the boatlift at the airport marina man the gun turret at the army base clean your car at the car wash raise the toll bridge and these playsets fit together to form a micromachine world micromachine pocket playsets so tremendously tiny so perfectly precise so dazzlingly detailed you'll want to pocket them all micromachines are micromachine pocket playsets sold seperately from galoob the smaller they are the better they are
Performance Metrics
10.88s
Prediction Time
10.89s
Total Time
All Input Parameters
{
"audio": "https://replicate.delivery/pbxt/O8bnN3bgiFoQWiC293bSbW0hom0ikfrxuZ3CvM4hTCjUy7kX/micro-machines.wav",
"language": "eng_Latn"
}
Input Parameters
- audio (required)
- Audio file to transcribe. Supports most audio formats (MP3, WAV, FLAC, etc). Maximum 40 seconds.
- language
- Select language for transcription. Choose 'auto' for automatic language detection, or select a specific language code (ISO 639-3 + ISO 15924 format: e.g., 'eng_Latn' for English, 'cmn_Hans' for Simplified Chinese).
Output Schema
Output
Example Execution Logs
2025-11-28 00:34:54 - INFO - ============================================================ 2025-11-28 00:34:54 - INFO - Starting new transcription request 2025-11-28 00:34:54 - INFO - ============================================================ 2025-11-28 00:34:54 - INFO - Input parameters: 2025-11-28 00:34:54 - INFO - - Audio file: /tmp/tmp7aiz1agumicro-machines.wav 2025-11-28 00:34:54 - INFO - - Language: eng_Latn 2025-11-28 00:34:54 - INFO - Audio file found - Size: 5148.82 KB 2025-11-28 00:34:54 - INFO - Converting audio to WAV format... 2025-11-28 00:34:54 - INFO - Audio duration: 29.89 seconds 2025-11-28 00:34:54 - INFO - Audio converted to WAV: /tmp/tmpsmt24016.wav (sample rate: 44100 Hz) 2025-11-28 00:34:54 - INFO - Using specified language: eng_Latn 2025-11-28 00:34:54 - INFO - Starting transcription... 2025-11-28 00:35:04 - INFO - Transcription completed in 10.25 seconds 2025-11-28 00:35:04 - INFO - Transcription result length: 922 characters 2025-11-28 00:35:04 - INFO - Preview: this is the micromachine man presenting the most midget miniature modicate of micromachines each one... 2025-11-28 00:35:04 - INFO - ============================================================ 2025-11-28 00:35:04 - INFO - Transcription request completed successfully 2025-11-28 00:35:04 - INFO - ============================================================ 2025-11-28 00:35:04 - INFO - Cleaned up temporary file: /tmp/tmpsmt24016.wav
Version Details
- Version ID
c1b60d827c17233c21429fc4b572d34b34251f503c145f43984361119586e1b1- Version Created
- November 27, 2025