Tech · Hugging Face
Voice is rapidly becoming AI's primary interface
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Over the last few years, voice models have improved dramatically.
Key facts
- Real World VoiceEQ evaluates more than 40 leading proprietary and open-source voice models across 15+ key evaluation dimensions and more than 60 metrics spanning Automatic Speech Recognition (ASR)
- Real World VoiceEQ was developed from more than 1 million individual human ratings collected across different demographics, speaking styles, and acoustic environments
- For decades, speech AI has advanced by optimizing against quantitative metrics on standardized benchmarks; from WER for transcription accuracy to objective perceptual metrics like PESQ and DNSMOS
- To measure those qualities, they built Real World VoiceEQ —a benchmark designed to evaluate the human quality of voice interaction
Summary
Voice models can sound like different people over the course of a conversation, miss hesitation or uncertainty, and struggle with accents, noise, or emotional speech. To measure those qualities, they built Real World VoiceEQ —a benchmark designed to evaluate the human quality of voice interaction. Real World VoiceEQ evaluates more than 40 leading proprietary and open-source voice models across 15+ key evaluation dimensions and more than 60 metrics spanning Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Speech-to-Speech (S2S), and Speech Understanding. Real World VoiceEQ was developed from more than 1 million individual human ratings collected across different demographics, speaking styles, and acoustic environments.