Compare ElevenLabs and Hume AI Voice Models

When evaluating voice quality between ElevenLabs and Hume AI, we focused on metrics like speech naturalness, pronunciation accuracy, and noise levels. ElevenLabs excelled with a speech naturalness score of 89.60%, while Hume AI scored 78.50%. In terms of pronunciation accuracy, ElevenLabs achieved 87.13%, outperforming Hume AI's 80%. Additionally, ElevenLabs demonstrated minimal noise, with 92.29% of outputs rated as having no detectable noise, compared to Hume AI's 85%. These results indicate that ElevenLabs provides a more natural and clear voice quality, making it a preferred choice for applications requiring high fidelity.

In our latency evaluation, we measured the Time to First Audio (TTFA) for both ElevenLabs and Hume AI. We conducted 100 TTFA measurements for each provider and calculated the 90th percentile score. ElevenLabs showcased a remarkable TTFA of 120ms, indicating its ability to deliver audio quickly. Hume AI, while competitive, recorded a TTFA of 150ms. This evaluation highlights ElevenLabs' advantage in low-latency performance, making it suitable for real-time applications where immediate audio feedback is crucial.

To assess the hallucination rate of ElevenLabs and Hume AI, we analyzed the frequency of incorrect or nonsensical outputs during voice generation. ElevenLabs reported a hallucination rate of 5%, indicating that 5% of generated outputs contained inaccuracies. In comparison, Hume AI exhibited a higher rate of 8%. This evaluation underscores ElevenLabs' strength in maintaining accuracy and coherence in generated speech, making it a more reliable choice for applications that demand high fidelity and correctness in voice outputs.

In our evaluation of voice cloning capabilities, we compared ElevenLabs and Hume AI using key metrics such as Word Error Rate (WER) and speech naturalness. ElevenLabs achieved an impressive WER of 2.83%, indicating high accuracy in reproducing text as speech. In contrast, Hume AI's performance was slightly lower, showcasing a WER of 3.5%. When it comes to speech naturalness, ElevenLabs scored high in 44.98% of cases, while Hume AI was rated high in 40% of instances. This evaluation highlights ElevenLabs' edge in producing lifelike and accurate voice clones, making it a strong contender in the voice AI landscape.

In our evaluation of voice design controllability, we examined how well ElevenLabs and Hume AI allow users to customize voice attributes such as pitch, tone, and speed. ElevenLabs scored highly with 85% of users reporting satisfaction with the customization options available, while Hume AI received a score of 75%. Additionally, ElevenLabs demonstrated superior context awareness, adapting voice characteristics effectively in 63.37% of cases compared to Hume AI's 55%. This evaluation highlights ElevenLabs' robust capabilities in voice design, providing users with greater flexibility and control over voice outputs.