Loquacious Set: 25,000 Hours of Transcribed and Diverse English Speech Recognition Data for Research and Commercial Use

Benchmark Model Rank Results
speech-recognition-on-amispeechbrain/asr-conformer-largescaleasr#49Word Error Rate (WER): 18.54
speech-recognition-on-ami-cleanedspeechbrain/asr-conformer-largescaleasr#49Word Error Rate (WER): 15.57
speech-recognition-on-earnings-22speechbrain/asr-conformer-largescaleasr#47Word Error Rate (WER): 14.2
speech-recognition-on-gigaspeech-cleanedspeechbrain/asr-conformer-largescaleasr#45Word Error Rate (WER): 9.7
speech-recognition-on-gigaspeech-testspeechbrain/asr-conformer-largescaleasr#51Word Error Rate (WER): 10.48
speech-recognition-on-librispeech-test-cleanspeechbrain/asr-conformer-largescaleasr#59Word Error Rate (WER): 1.83
speech-recognition-on-librispeech-test-otherspeechbrain/asr-conformer-largescaleasr#63Word Error Rate (WER): 4.12
speech-recognition-on-spgispeechspeechbrain/asr-conformer-largescaleasr#48Word Error Rate (WER): 3.69
speech-recognition-on-voxpopulispeechbrain/asr-conformer-largescaleasr#33Word Error Rate (WER): 6.88
speech-recognition-on-voxpopuli-cleanedspeechbrain/asr-conformer-largescaleasr#34Word Error Rate (WER): 4.06