Introducing Universal-3 Pro: A new class of speech language model optimized for Voice AI

Benchmark Model Rank Results
speech-recognition-on-amiassemblyai/universal-3-proWord Error Rate (WER): 12.56
speech-recognition-on-ami-cleanedassemblyai/universal-3-proWord Error Rate (WER): 11.06
speech-recognition-on-earnings-22assemblyai/universal-3-proWord Error Rate (WER): 10.89
speech-recognition-on-gigaspeech-cleanedassemblyai/universal-3-proWord Error Rate (WER): 7.54
speech-recognition-on-gigaspeech-testassemblyai/universal-3-proWord Error Rate (WER): 7.6
speech-recognition-on-librispeech-test-cleanassemblyai/universal-3-proWord Error Rate (WER): 1.1
speech-recognition-on-librispeech-test-otherassemblyai/universal-3-proWord Error Rate (WER): 2.27
speech-recognition-on-spgispeechassemblyai/universal-3-proWord Error Rate (WER): 1.52
speech-recognition-on-voxpopuliassemblyai/universal-3-proWord Error Rate (WER): 6.49
speech-recognition-on-voxpopuli-cleanedassemblyai/universal-3-proWord Error Rate (WER): 1.83