Hume AI alternatives for emotion measurement

The alternatives, measured

Accuracy is seven-class emotion accuracy on speech-emotion-bench — open models on the full 64,384-clip evaluation; closed/API and audio-LLM systems on a fixed 5,000-clip stratified subset. All rows use the same seven-class mapping and scorer. Disclosure: this is a vendor page; the full 64-system results and protocol are published and downloadable so you can check our work.

How to choose

Hume Tagger / Prosody (current)

Hume currently advertises Tagger for offline batch analysis across 600+ expression dimensions and Prosody for real-time signals. Hume directs prospective Tagger users to contact Research. These current products were not evaluated in the July 2026 oruk benchmark; the 49.6% row belongs to the legacy 48-dimension prosody endpoint.

oruk Speech API

15 calibrated multilabel emotions + 16 speaking styles + transcription from one synchronous REST call. English, file-based, priced per second. (This is our product; the benchmark entry is trained in-distribution — see methodology.)

emotion2vec+ (self-hosted)

The strongest open-weights option measured. Free to run, but you own GPU serving, calibration, thresholds, and scaling. A good fit for teams with ML infrastructure.

Gemini 3 Flash Preview

The strongest frontier multimodal API measured. Prompt-based rather than calibrated scores; useful when emotion is a secondary need inside a broader LLM workflow.

Behavioral Signals

Speech analytics vendor with an emotion/behavior API aimed at call centers.

GPT-Audio 1.5

OpenAI’s audio-capable model, prompt-based. Same trade-off as Gemini: flexible, not calibrated.

audEERING devAIce

Long-standing paralinguistics vendor (makers of openSMILE); offers on-prem and embedded deployments.

Empath

Japanese vocal-emotion vendor; scored lowest of the commercial APIs measured.

The legacy Hume product also covered face, text, and vocal-burst modalities. Hume’s current public Expression Measurement page describes voice Tagger and Prosody products; it does not document those former modalities. If they are requirements, confirm current coverage directly with Hume or evaluate a multimodal specialist.

FAQ

Does Hume still offer emotion measurement?

Yes. Hume’s current product page advertises Tagger for offline batch analysis and Prosody for real-time signals. The dated 49.6% legacy prosody snapshot in our benchmark is not evidence about either current product. Current Tagger access is contact-led according to Hume’s page.

Which option had the top measured result?

In oruk’s July 2026 speech-emotion-bench release, oruk Spectra measured 77.6% seven-class accuracy, with the important caveat that it was trained in-distribution. Open models were evaluated on the full 64,384 clips; closed/API and audio-LLM systems used a fixed 5,000-clip subset. Current Hume Tagger and Prosody were not tested. The 49.6% Hume row is a legacy prosody snapshot.

Is there a free alternative to Hume Expression Measurement?

Yes — self-hosting an open model such as emotion2vec+ is free apart from compute, and it was the strongest non-oruk system measured. The trade-off is operational: GPU serving, calibration, and maintenance are on you. oruk includes $50 in trial credit if you want a managed comparison point.

Sources and scope

• Hume AI’s current Expression Measurement page, accessed July 20, 2026 — Tagger offline, Prosody real time, 600+ dimensions, 50+ languages, and contact-led Tagger access.
• oruk benchmark methodology and limitations — sample split, in-distribution disclosure, downloadable results, and the dated legacy Hume snapshot.
• oruk is not affiliated with Hume AI. Report a factual issue to access@oruk.ai.