ElevenLabs vs Hume
Explore the differences between ElevenLabs and Hume AI voice models. Compare features, pricing, and performance.
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Compare ElevenLabs and Hume AI Voice Models
Eleven Labs offers highly realistic voices with emotional range but requires more computing power. Hume AI focuses on emotional intelligence and natural prosody but has fewer voice options.
Updated at:
Feb 14, 2025
Features
ElevenLabs
Typically around 300 ms + network time
Natural and realistic, widely used by all types of content creators
Limited to 40k characters per request
Requires 30 seconds of audio
IPA Support, isolated pronunciation
Stability, similarity, and style exaggeration controls
8kHz audio, telephony optimized voices
32
Up to 15 on highest self serve tier, custom for enterprise
Hume AI
900ms - 2000ms
Convey authentic emotions and precise tones
Limited character count for longer texts
Requires 3 to 5 minutes of audio
Requires 1 to 2 hours of audio
Less contextual awareness in pronunciation
Limited controls for stability and similarity
Standard audio quality without optimization
English only
Voice Quality Comparison
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.
Latency Performance Review
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.
Hallucination Rate Analysis
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.
Voice Cloning
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.
Voice Design Control Evaluation
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.
Look for a ElevenLabs and Hume AI Alternatives?
Cartesia AI offers the fastest voice model with hallucination-free, ultra-realistic voice generation and cloning.
The Fastest Voice Model
Cartesia's Sonic model achieves a remarkable 90ms time-to-first-audio, ensuring rapid voice responses.
Voice Clone with 5s of Audio
With just 5 seconds of audio, Cartesia can create high-fidelity voice clones that sound lifelike and authentic.
Ultra-Realistic Voices
Cartesia's voices are rated #1 in quality, providing natural and expressive speech for various applications.
Explore Pricing for ElevenLabs and Hume AI
ElevenLabs
Free - $0/mo. with 10k characters
Starter - $5/mo. with 30k characters
Creator - $11/mo. with 100k characters
Pro - $99/mo. per month with 500k characters
Scale - $330/mo. per month with 2M characters
Hume AI
Starter - $10/mo. with 5k credits and basic features
Standard - $25/mo. with 250k credits and additional features
Business - $99/mo. with 1M credits and advanced features
Enterprise - $499/mo. with 10M credits and priority support
Premium - Custom pricing with dedicated support and unlimited features
What Cartesia customers say
Join the growing list of companies opting for Sonic.
"This partnership represents a transformative moment in enterprise AI adoption," said Melissa Gordon, CEO of Rasa. "By combining Rasa’s strengths in enterprise conversational AI with Cartesia's innovative voice technology, we're fundamentally changing how enterprises can deploy and scale AI assistants across their organizations."
"We're thrilled to partner with Cartesia - their technology has dramatically improved the accuracy and reliability of our call center agents. Beyond just providing best-in-class voice AI, the Cartesia team has been a true partner in helping us transform 24/7 patient support for over 215,000 patients. Their support has been instrumental in making exceptional care accessible anytime, anywhere."
Jeffrey Liu, Founder and co-CEO, Assort Health
"Together AI's mission has always been to provide developers with the most powerful and efficient tools for building AI applications," says Vipul Ved Prakash, Together AI's CEO. "Cartesia is leading the charge of building efficient, multimodal models from first principles, starting with their Sonic TTS model. By integrating Sonic into our platform, we're enabling developers to create sophisticated multi-modal applications that leverage the most advanced and lowest latency voice model available today, all while maintaining the simplicity and reliability our users expect."
